Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study

Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study

Background: The aim of this study is to demonstrate the feasibility of automatic classification of Ki-67 histological immunostainings in patients with squamous cell carcinoma of the vulva using a deep convolutional neural network (dCNN). Material and methods: For evaluation of the dCNN, we used 55 w...

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Bibliographic Details
Main Authors: Matthias Choschzick, Mariam Alyahiaoui, Alexander Ciritsis, Cristina Rossi, André Gut, Patryk Hejduk, Andreas Boss
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Heliyon
Subjects:
Ki-67
Vulva carcinoma
Deep learning
Convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021016807

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http://www.sciencedirect.com/science/article/pii/S2405844021016807

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