Symbolic Learning using Brain Programming for the Recognition of Leukemia Images

• Autores: Rocío Ochoa-Montiel, Humberto Sossa, Gustavo Olague , Mariana Chan-Ley, José Menéndez
• Localización: Computación y Sistemas (CyS), ISSN 1405-5546, ISSN-e 2007-9737, Vol. 25, Nº. 4, 2021, págs. 707-718
• Idioma: inglés
• DOI: 10.13053/cys-25-4-4045
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• Resumen

  • 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.

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