Article

Improving generalization of deep learning models for diagnostic pathology by increasing variability in training data: experiments on osteosarcoma subtypes

2020-09-18

Abstract excerpt

<h4>ABSTRACT</h4> Artificial intelligence (AI) has an emerging progress in diagnostic pathology. A large number of studies of applying deep learning models to histopathological images have been published in recent years. While many studies claim high accuracies, they may fall into the pitfalls of overfitting and lack of generalization due to the high variability of the histopathological images. We use the example...

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Literature Corpus work: c3691d84-40bb-5573-96cd-c00756528e89
DOI: 10.1101/2020.09.10.20192294

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