Weak supervision, strong results: Automating melanocyte lesion diagnosis with deep learning
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DOI: 10.1111/jdv.20382
Abstract: a significant study exploring the application of weakly supervised deep learning (DL) models— Trans-MIL, CLAM and DTFD-MIL—for distinguishing melanomas from naevi on haematoxylin and eosin (H&E)- stained pathology slides. Achieving remarkable read more here.
Keywords: deep learning; supervision strong; learning; results automating ... See more keywords