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Article

Histopathological Domain Adaptation with Generative Adversarial Networks Bridging the Domain Gap Between Thyroid Cancer Histopathology Datasets

2023-05-24

Abstract excerpt

Deep learning techniques are increasingly being used to classify medical imaging data with high accuracy. Despite this, due to often limited training data, these models can lack sufficient generalizability to predict unseen test data, produced in a different domain, with comparable performance. This study focuses on thyroid histopathology image classification and investigates whether a Generative Adversarial Netwo...

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Literature Corpus work
5793348f-ffd2-5b20-933d-9f1be178bd00
DOI
10.1101/2023.05.22.541691
Open publication

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Histopathological Domain Adaptation with Generative Adversarial Networks Bridging the Domain Gap Between Thyroid Cancer Histopathology DatasetsDOI 10.1101/2023.05.22.541691
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