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CPU-READY DEEP LEARNING APPROACH FOR ROBUST TISSUE REGION SEGMENTATION ACROSS MULTI-COHORT H&E AND IHC-STAINED WHOLE SLIDE IMAGES

2025-01-17

Abstract excerpt

<h4> A bstract </h4> With the rise of digital pathology, integrating digital slides with deep learning–based decision support systems is becoming increasingly common in clinical practice. Tissue region segmentation which is distinguishing tissue from background/artefacts, is an important pre-requisite in many digital pathology pipelines both for the laboratories as their first step in digitalizing the glass sli...

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Literature Corpus work: f3517dde-7ed5-5b47-aac7-7b5c58c05cad
DOI: 10.1101/2025.01.16.25320663

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