Resumen de Symbolic Learning using Brain Programming for the Recognition of Leukemia Images

Rocío Ochoa-Montiel, Humberto Sossa, Gustavo Olague , Mariana Chan-Ley, José Menéndez

• Abstract: 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.