Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training—The Case of Cancer Detection.

The class distribution of a training dataset is an important factor which influences the performance of a deep learning-based system. Understanding the optimal class distribution is therefore crucial when building a new training set which may be costly to annotate. This is the case for histological...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 35; no. 5; pp. 1326 - 1350
Main Authors:	Reshma, Ismat Ara, Franchet, Camille, Gaspard, Margot, Ionescu, Radu Tudor, Mothe, Josiane, Cussat-Blanc, Sylvain, Luga, Hervé, Brousset, Pierre
Format:	equations & formulas pictorial research tables/charts Journal Article
Published:	Springer Nature Oct2022
Online Access:	View this record in EBSCOhost