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Shangying Liang

As seen in: BioRxiv
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Articles

Teacher-student collaborated multiple instance learning for pan-cancer PDL1 expression prediction from histopathology slides

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By Darui Jin, Shangying Liang, Artem Shmatko, Alexander Arnold
| BioRxiv
Abstract Programmed cell death ligand 1 (PDL1), as an important biomarker, is quantified by immunohistochemistry with few established histopathological patterns. Deep learning aids in histopathological assessment, yet heterogeneity and lacking spatially resolved annotations challenge precise analysis. Here, we present a weakly supervised learning approach using bulk RNA sequencing for PDL1 expression prediction from hematoxylin and eosin (H&E) slides.
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Teacher-student collaborated multiple instance learning for pan-cancer PDL1 expression prediction from histopathology slides

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By Artem Shmatko, Moritz Gerstung, Darui Jin, Shangying Liang
| BioRxiv
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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