An Effective Deep Learning Architecture Combination for Tissue Microarray Spots Classification of H&E Stained Colorectal Images
ieee.org
An Effective Deep Learning Architecture Combination for Tissue Microarray Spots Classification of H&E Stained Colorectal Images
Tissue microarray (TMA) assessment of histomorphological biomarkers contributes to more accurate prediction of outcome of patients with colorectal cancer (CRC), a common disease. Unfortunately, a typical problem with the use of TMAs is that the material contained in each TMA spot changes as the TMA block is cut repeatedly. A re-classification ...
Dec 3, 2020
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