Patch-Based Convolutional Neural Networks for TCGA-BRCA Breast Cancer Classification

Patch-Based Convolutional Neural Networks for TCGA-BRCA Breast Cancer Classification

The current study automatically identified regions of interest and classified breast tumors in whole slide images from The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) using patch-based convolutional neural networks (CNNs). Pre-processing techniques were applied on whole slide images. T...

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書目詳細資料
Main Authors:	Villareal, Rosiel Jazmine T, Abu, Patricia Angela R
格式:	text
出版:	Archīum Ateneo 2021
主題:	Computer vision Convolutional neural networks Breast cancer classification Computer Sciences Databases and Information Systems Oncology
在線閱讀:	https://archium.ateneo.edu/discs-faculty-pubs/248 https://link.springer.com/chapter/10.1007/978-3-030-90436-4_3
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