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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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Villareal, Rosiel Jazmine T, Abu, Patricia Angela R
التنسيق:	text
منشور في:	Archīum Ateneo 2021
الموضوعات:	Computer vision Convolutional neural networks Breast cancer classification Computer Sciences Databases and Information Systems Oncology
الوصول للمادة أونلاين:	https://archium.ateneo.edu/discs-faculty-pubs/248 https://link.springer.com/chapter/10.1007/978-3-030-90436-4_3
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
المؤسسة:	Ateneo De Manila University

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