Explainable CAD system for classification of acute lymphoblastic leukemia based on a robust white blood cell segmentation
JL Diaz Resendiz, V Ponomaryov, R Reyes Reyes… - Cancers, 2023 - mdpi.com
Simple Summary Leukemia is a type of cancer that affects white blood cells and can lead to
serious health problems and death. Diagnosing leukemia is currently performed through a …
serious health problems and death. Diagnosing leukemia is currently performed through a …
Implementation of a consistent white blood cell segmentation based on handcraft approach
JL Diaz-Resendiz, V Ponomaryov… - … on Frontiers of …, 2022 - ieeexplore.ieee.org
White blood cell segmentation is one of the most important and complex tasks in medical
computer image analysis. In this article, we propose a simple, efficient, straightforward, and …
computer image analysis. In this article, we propose a simple, efficient, straightforward, and …
[HTML][HTML] Symbolic learning using brain programming for the recognition of leukemia images
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 …
images. Image recognition for cancer detection is often a subjective problem due to different …
Towards explainable artificial intelligence for the leukemia subtype recognition
R Ochoa-Montiel, G Olague… - 2021 IEEE Latin American …, 2021 - ieeexplore.ieee.org
In this work, we provide a solution to the leukemia subtype recognition problem. Most
approaches used for solving a variety of pattern recognition problems have a drawback: in …
approaches used for solving a variety of pattern recognition problems have a drawback: in …