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Novel loss functions for ensemble-based medical image classification

Medical images commonly exhibit multiple abnormalities. Predicting them requires multi-class classifiers whose training and desired reliable performance can be affected by a combination of factors, such as, dataset size, data source, distribution, and the loss function used to train deep neural netw...

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Detalles Bibliográficos
Autores principales: Rajaraman, Sivaramakrishnan, Zamzmi, Ghada, Antani, Sameer K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718001/
https://www.ncbi.nlm.nih.gov/pubmed/34968393
http://dx.doi.org/10.1371/journal.pone.0261307