DeepCIN: Attention-based cervical histology image classification with sequential feature modeling for pathologist-level accuracy

Background: Cervical cancer is one of the deadliest cancers affecting women globally. Cervical intraepithelial neoplasia (CIN) assessment using histopathological examination of cervical biopsy slides is subject to interobserver variability. Automated processing of digitized histopathology slides has...

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書誌詳細

主要な著者:	Sudhir Sornapudi, R Joe Stanley, William V Stoecker, Rodney Long, Zhiyun Xue, Rosemary Zuna, Shellaine R Frazier, Sameer Antani
フォーマット:	Artigo
言語:	Inglês
出版事項:	Elsevier 2020-01-01
シリーズ:	Journal of Pathology Informatics
主題:	attention networks cervical cancer cervical intraepithelial neoplasia classification convolutional neural networks digital pathology fusion-based classification histology recurrent neural networks
オンライン･アクセス:	http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2020;volume=11;issue=1;spage=40;epage=40;aulast=Sornapudi
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