Resumo

OCHOA-MONTIEL, Rocío et al. Symbolic Learning using Brain Programming for the Recognition of Leukemia Images. Comp. y Sist. [online]. 2021, vol.25, n.4, pp.707-718.  Epub 28-Fev-2022. ISSN 2007-9737.  https://doi.org/10.13053/cys-25-4-4045.

in this work, We propose an approach of symbolic learning for the recognition of leukemia images. Image recognition for cancer detection is often a subjective problem due to different interpretations by experts of the medical area. Feature extraction is a critical step in image recognition, and current automatic approaches are unintelligible since they need to be adapted to different image domains. We propose the paradigm of brain programming as a symbolic learning approach to address aspects involved in the derivation of knowledge that allows us to recognize subtypes of leukemia in color images. Experimental results provide evidence that the multi-class recognition task is achieved through the solutions discovered from multiples runs of the bioinspired model.

Palavras-chave : Leukemia recognition; symbolic learning; brain programming; evolutionary computer vision.

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