Deep computational pathology in breast cancer
Abstract
Deep Learning (DL) algorithms are a set of techniques that exploit large and/or complex real-world datasets for cross-domain and cross-discipline prediction and classification tasks. DL architectures excel in computer vision tasks, and in particular image processing and interpretation. This has prompted a wave of disruptingly innovative applications in medical imaging, where DL strategies have the potential to vastly outperform human experts....
Paper Details
Title
Deep computational pathology in breast cancer
Published Date
Jul 1, 2021
Journal
Volume
72
Pages
226 - 237
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Notes
History