Article

AUPA: weakly supervised approach for streamlining breast cancer diagnostic workflow by WSI histological type classification for efficient IHC triage

2025-05-27

Abstract excerpt

<title>Abstract</title> <p>In routine breast cancer (BC) diagnostics, pathologists often review each case twice—first to determine the need for immunohistochemical (IHC) stains, and a second time to emit the final diagnosis—creating significant workload and delays. We present AUPA, an Artificial Intelligence-based system designed to streamline this process by identifying the most invasive histological type in Who...

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Literature Corpus work: d99827ef-4890-5be2-9ae6-4edba54cd681
DOI: 10.21203/rs.3.rs-6412814/v1

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