Building Efficient CNN Architectures for Histopathology Images Analysis: A Case-Study in Tumor-Infiltrating Lymphocytes Classification

BACKGROUND: Deep learning methods have demonstrated remarkable performance in pathology image analysis, but they are computationally very demanding. The aim of our study is to reduce their computational cost to enable their use with large tissue image datasets. METHODS: We propose a method called Ne...

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Detalles Bibliográficos
Autores principales: Meirelles, André L. S., Kurc, Tahsin, Kong, Jun, Ferreira, Renato, Saltz, Joel H., Teodoro, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197439/
https://www.ncbi.nlm.nih.gov/pubmed/35712087
http://dx.doi.org/10.3389/fmed.2022.894430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197439/
https://www.ncbi.nlm.nih.gov/pubmed/35712087
http://dx.doi.org/10.3389/fmed.2022.894430

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