Article

Improving the generalization of Deep Learning Classification Models in Medical Imaging using Transfer Learning and Generative Adversarial Networks

2021-07-28

Abstract excerpt

Data sets for medical images are generally imbalanced and limited in sample size because of high data collection costs, time-consuming annotations, and patient privacy concerns. The training of deep neural network classification models on these data sets to improve the generalization ability does not produce the desired results for classifying the medical condition accurately and often overfit the data on the majo...

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Literature Corpus work: 155957a6-c996-5ab6-a249-b850be9585c3
DOI: 10.20944/preprints202107.0636.v1

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