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

• Main Authors: Villareal, Rosiel Jazmine T, Abu, Patricia Angela R
• Format: text
• Published: Archīum Ateneo 2021
• Subjects: Computer vision; Convolutional neural networks; Breast cancer classification; Computer Sciences; Databases and Information Systems; Oncology
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/248; https://link.springer.com/chapter/10.1007/978-3-030-90436-4_3
• Institution: Ateneo De Manila University

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...