Applying Deep Learning Cancer Subtyping Algorithms Trained on Physical Slides to Multiphoton Imaging of Unembedded Samples

Abstract Introduction/Objective Deep learning algorithms on digital images of physical tissue slides have shown potential improvements in accuracy and precision of diagnostic interpretation of neoplastic histology. Clustering-constrained- attention multiple-instance learning (CLAM) is one such metho...

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Bibliographic Details
Published inAmerican journal of clinical pathology Vol. 158; no. Supplement_1; p. S117
Main Authors Mahmood, F, Robbins, C J, Perincheri, S, Torres, R
Format Journal Article
LanguageEnglish
Published US Oxford University Press 09.11.2022
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