<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0188-9532</journal-id>
<journal-title><![CDATA[Revista mexicana de ingeniería biomédica]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. ing. bioméd]]></abbrev-journal-title>
<issn>0188-9532</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Mexicana de Ingeniería Biomédica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0188-95322022000300102</article-id>
<article-id pub-id-type="doi">10.17488/rmib.43.3.2</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Segmentation of OCT and OCT-A Images using Convolutional Neural Networks]]></article-title>
<article-title xml:lang="es"><![CDATA[Segmentación de imágenes de OCT y OCT-A por medio de Redes Neuronales Convolucionales]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cisneros-Guzmán]]></surname>
<given-names><![CDATA[Fernanda]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Toledano-Ayala]]></surname>
<given-names><![CDATA[Manuel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Tovar-Arriaga]]></surname>
<given-names><![CDATA[Saúl]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rivas-Araiza]]></surname>
<given-names><![CDATA[Edgar A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de Querétaro  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>43</volume>
<numero>3</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0188-95322022000300102&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0188-95322022000300102&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0188-95322022000300102&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Segmentation is vital in Optical Coherence Tomography Angiography (OCT-A) images. The separation and distinction of the different parts that build the macula simplify the subsequent detection of observable patterns/illnesses in the retina. In this work, we carried out multi-class image segmentation where the best characteristics are highlighted in the appropriate plexuses by comparing different neural network architectures, including U-Net, ResU-Net, and FCN. We focus on two critical zones: retinal vasculature (RV) and foveal avascular zone (FAZ). The precision obtained from the RV and FAZ segmentation over 316 OCT-A images from the OCT-A 500 database at 93.21% and 92.59%, where the FAZ was segmented with an accuracy of 99.83% for binary classification.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La segmentación juega un papel vital en las imágenes de angiografía por tomografía de coherencia óptica (OCT-A), ya que la separación y distinción de las diferentes partes que forman la mácula simplifican la detección posterior de patrones/enfermedades observables en la retina. En este trabajo, llevamos a cabo una segmentación de imágenes multiclase donde se destacan las mejores características en los plexos apropiados al comparar diferentes arquitecturas de redes neuronales, incluidas U-Net, ResU-Net y FCN. Nos centramos en dos zonas críticas: la segmentación de la vasculatura retiniana (RV) y la zona avascular foveal (FAZ). La precisión para RV y FAZ en 316 imágenes OCT-A de la base de datos OCT-A 500 se obtuvo en 93.21 % y 92.59 %. Cuando se segmentó la FAZ en una clasificación binaria, con un 99.83% de precisión.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[OCT-A segmentation]]></kwd>
<kwd lng="en"><![CDATA[ResU-Net]]></kwd>
<kwd lng="en"><![CDATA[FCN segmentation]]></kwd>
<kwd lng="en"><![CDATA[Convolutional Neural Network]]></kwd>
<kwd lng="es"><![CDATA[Segmentación OCT-A]]></kwd>
<kwd lng="es"><![CDATA[ResU-Net]]></kwd>
<kwd lng="es"><![CDATA[segmentación FCN]]></kwd>
<kwd lng="es"><![CDATA[Red neuronal convolucional]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wons]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Pfau]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Wirth]]></surname>
<given-names><![CDATA[MA]]></given-names>
</name>
<name>
<surname><![CDATA[Freiberg]]></surname>
<given-names><![CDATA[FJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optical coherence tomography angiography of the foveal avascular zone in retinal vein occlusion]]></article-title>
<source><![CDATA[Ophthalmologica]]></source>
<year>2016</year>
<volume>235</volume>
<page-range>195-202</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guo]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Cheong]]></surname>
<given-names><![CDATA[AMY]]></given-names>
</name>
<name>
<surname><![CDATA[Dai]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automatic quantification of superficial foveal avascular zone in optical coherence tomography angiography implemented with deep learning]]></article-title>
<source><![CDATA[Vis Comput Ind Biomed Art]]></source>
<year>2019</year>
<volume>2</volume>
<page-range>21</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Leopold]]></surname>
<given-names><![CDATA[HA]]></given-names>
</name>
<name>
<surname><![CDATA[Orchard]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Zelek]]></surname>
<given-names><![CDATA[JS]]></given-names>
</name>
<name>
<surname><![CDATA[Lakshminarayanan]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Pixel]]></surname>
<given-names><![CDATA[BNN]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Augmenting the Pixelcnn with Batch Normalization and the Presentation of a Fast Architecture for Retinal Vessel Segmentation]]></article-title>
<source><![CDATA[J Imaging]]></source>
<year>2019</year>
<volume>5</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>26</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Chung]]></surname>
<given-names><![CDATA[ACS]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep Supervision with Additional Labels for Retinal Vessel Segmentation Task]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Frangi]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Schnabel]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Davatzikos]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Alberola-López]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<source><![CDATA[Medical Image Computing and Computer Assisted Intervention- MICCAI 2018]]></source>
<year>2018</year>
<page-range>83-91</page-range><publisher-loc><![CDATA[Granada, Spain ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Xiao]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Lian]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Luo]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<source><![CDATA[Weighted Res-UNet for High-Quality Retina Vessel Segmentation]]></source>
<year>2018</year>
<conf-name><![CDATA[ 9International Conference on Information Technology in Medicine and Education (ITME)]]></conf-name>
<conf-date>2018</conf-date>
<conf-loc>Hangzhou, China </conf-loc>
<page-range>327-31</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Son]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Park]]></surname>
<given-names><![CDATA[SJ]]></given-names>
</name>
<name>
<surname><![CDATA[Jung]]></surname>
<given-names><![CDATA[KH]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks]]></article-title>
<source><![CDATA[J Digit Imaging]]></source>
<year>2019</year>
<volume>32</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>499-512</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jayabalan]]></surname>
<given-names><![CDATA[GS]]></given-names>
</name>
<name>
<surname><![CDATA[Bille]]></surname>
<given-names><![CDATA[JF]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The Development of Adaptive Optics and Its Application in Ophthalmology]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Bille]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<source><![CDATA[High Resolution Imaging in Microscopy and Ophthalmology]]></source>
<year>2019</year>
<page-range>339-58</page-range><publisher-loc><![CDATA[Cham, Switzerland ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Taher]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Kandil]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Mahmoud]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Mahmoud]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Comprehensive Review of Retinal Vascular and Optical Nerve Diseases Based on Optical Coherence Tomography Angiography]]></article-title>
<source><![CDATA[Appl Sci]]></source>
<year>2021</year>
<volume>11</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>4158</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Spaide]]></surname>
<given-names><![CDATA[RF]]></given-names>
</name>
<name>
<surname><![CDATA[Fujimoto]]></surname>
<given-names><![CDATA[JG]]></given-names>
</name>
<name>
<surname><![CDATA[Waheed]]></surname>
<given-names><![CDATA[NK]]></given-names>
</name>
<name>
<surname><![CDATA[Sadda]]></surname>
<given-names><![CDATA[SR]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optical coherence tomography angiography]]></article-title>
<source><![CDATA[Prog Retin Eye Res]]></source>
<year>2018</year>
<volume>64</volume>
<page-range>1-55</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[de Carlo]]></surname>
<given-names><![CDATA[TE]]></given-names>
</name>
<name>
<surname><![CDATA[Romano]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Waheed]]></surname>
<given-names><![CDATA[NK]]></given-names>
</name>
<name>
<surname><![CDATA[Duker]]></surname>
<given-names><![CDATA[JS]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A review of optical coherence tomography angiography (OCTA)]]></article-title>
<source><![CDATA[Int J Retin Vitr]]></source>
<year>2015</year>
<volume>1</volume>
<page-range>5</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wyl&#281;ga&#322;a]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Teper]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Dobrowolski]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Wyl&#281;ga&#322;a]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optical coherence angiography: A review]]></article-title>
<source><![CDATA[Medicine]]></source>
<year>2016</year>
<volume>95</volume>
<numero>41</numero>
<issue>41</issue>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Azzopardi]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Strisciuglio]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Vento]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Petkov]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Trainable COSFIRE filters for vessel delineation with application to retinal images]]></article-title>
<source><![CDATA[Med Image Anal]]></source>
<year>2015</year>
<volume>19</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>46-57</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lau]]></surname>
<given-names><![CDATA[QP]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Hsu]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
<name>
<surname><![CDATA[Wong]]></surname>
<given-names><![CDATA[TY]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Simultaneously Identifying All True Vessels from Segmented Retinal Images]]></article-title>
<source><![CDATA[IEEE Trans Biomed Eng]]></source>
<year>2013</year>
<volume>60</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>1851-8</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ghazal]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Al Khalil]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Alhalabi]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Fraiwan]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[9-Early detection of diabetics using retinal OCT images]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[El-Baz]]></surname>
<given-names><![CDATA[AS]]></given-names>
</name>
<name>
<surname><![CDATA[Suri]]></surname>
<given-names><![CDATA[JS]]></given-names>
</name>
</person-group>
<source><![CDATA[Diabetes and Retinopathy]]></source>
<year>2020</year>
<page-range>173-204</page-range><publisher-loc><![CDATA[United States ]]></publisher-loc>
<publisher-name><![CDATA[Elsevier]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Ji]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Xie]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<source><![CDATA[IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation]]></source>
<year>2020</year>
<publisher-name><![CDATA[Cornell University]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bates]]></surname>
<given-names><![CDATA[NM]]></given-names>
</name>
<name>
<surname><![CDATA[Tian]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Smiddy]]></surname>
<given-names><![CDATA[WE]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[W-H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Relationship between the morphology of the foveal avascular zone, retinal structure, and macular circulation in patients with diabetes mellitus]]></article-title>
<source><![CDATA[Sci Rep]]></source>
<year>2018</year>
<volume>8</volume>
<page-range>5355</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ronneberger]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
<name>
<surname><![CDATA[Fischer]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Brox]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[U-net: Convolutional Networks for Biomedical Image Segmentation]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Navab]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Hornegger]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Wells]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
<name>
<surname><![CDATA[Frangi]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<source><![CDATA[Medical Image Computing and ComputerAssisted Intervention - MICCAI 2015]]></source>
<year>2015</year>
<page-range>234-41</page-range><publisher-loc><![CDATA[Munich, Germany ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sappa]]></surname>
<given-names><![CDATA[LB]]></given-names>
</name>
<name>
<surname><![CDATA[Okuwobi]]></surname>
<given-names><![CDATA[IP]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[RetFluidNet: Retinal Fluid Segmentation for SD-OCT Images Using Convolutional Neural Network]]></article-title>
<source><![CDATA[J Digit Imaging]]></source>
<year>2021</year>
<volume>34</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>691-704</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rasamoelina]]></surname>
<given-names><![CDATA[AD]]></given-names>
</name>
<name>
<surname><![CDATA[Adjailia]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Sin&#269;ák]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<source><![CDATA[A Review of Activation Function for Artificial Neural Network]]></source>
<year>2020</year>
<conf-name><![CDATA[ IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI)]]></conf-name>
<conf-date>2020</conf-date>
<conf-loc> </conf-loc>
<page-range>281-6</page-range><publisher-loc><![CDATA[Herlany, Slovakia ]]></publisher-loc>
<publisher-name><![CDATA[IEEE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Qi]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
<name>
<surname><![CDATA[Wei]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automatic Mapping of Landslides by the ResU-Net]]></article-title>
<source><![CDATA[Remote Sens]]></source>
<year>2020</year>
<volume>12</volume>
<numero>15</numero>
<issue>15</issue>
<page-range>2487</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ioffe]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Szegedy]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<source><![CDATA[Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift]]></source>
<year>2015</year>
<conf-name><![CDATA[ ICML'15: Proceedings of the 32nd International Conference on International Conference on Machine Learning]]></conf-name>
<conf-loc> </conf-loc>
<page-range>448-56</page-range><publisher-loc><![CDATA[Lille, France ]]></publisher-loc>
<publisher-name><![CDATA[JMLR]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Carass]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Jedynak]]></surname>
<given-names><![CDATA[BM]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Fully Convolutional Boundary Regression for Retina OCT Segmentation]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Shen]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Peters]]></surname>
<given-names><![CDATA[TM]]></given-names>
</name>
<name>
<surname><![CDATA[Staib]]></surname>
<given-names><![CDATA[LH]]></given-names>
</name>
</person-group>
<source><![CDATA[Medical Image Computing and Computer Assisted Intervention - MICCAI 2019]]></source>
<year>2019</year>
<page-range>120-8</page-range><publisher-loc><![CDATA[Shenzhen, China ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Song]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A review of Deep-Learning-Based Medical Image Segmentation Methods]]></article-title>
<source><![CDATA[Sustainability]]></source>
<year>2021</year>
<volume>13</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>1224</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
