Entropy Measurements for Leukocytes’ Surrounding Informativeness Evaluation for Acute Lymphoblastic Leukemia Classification

The study of leukemia classification using deep learning techniques has been conducted by multiple research teams worldwide. Although deep convolutional neural networks achieved high quality of sick vs. healthy patient discrimination, their inherent lack of human interpretability of the decision-mak...

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Detalles Bibliográficos
Autores principales: Pałczyński, Krzysztof, Ledziński, Damian, Andrysiak, Tomasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689677/
https://www.ncbi.nlm.nih.gov/pubmed/36359651
http://dx.doi.org/10.3390/e24111560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689677/
https://www.ncbi.nlm.nih.gov/pubmed/36359651
http://dx.doi.org/10.3390/e24111560

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