Prediction of BAP1 Expression in Uveal Melanoma Using Densely-Connected Deep Classification Networks

Prediction of BAP1 Expression in Uveal Melanoma Using Densely-Connected Deep Classification Networks

Uveal melanoma is the most common primary intraocular malignancy in adults, with nearly half of all patients eventually developing metastases, which are invariably fatal. Manual assessment of the level of expression of the tumor suppressor BRCA1-associated protein 1 (BAP1) in tumor cell nuclei can i...

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Bibliographic Details
Main Authors: Muyi Sun, Wei Zhou, Xingqun Qi, Guanhong Zhang, Leonard Girnita, Stefan Seregard, Hans E. Grossniklaus, Zeyi Yao, Xiaoguang Zhou, Gustav Stålhammar
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Cancers
Subjects:
bap1 expression prediction
ophthalmic histopathology images
densely-connected network
deep learning
immunohistochemistry
precision medicine
artificial intelligence
Online Access:https://www.mdpi.com/2072-6694/11/10/1579

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https://www.mdpi.com/2072-6694/11/10/1579

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