ABMIL
PulseAugur coverage of ABMIL — every cluster mentioning ABMIL across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Digital pathology study finds tile-level AI benchmarks predict slide-level performance
A new study published on arXiv explores the efficiency of using tile-level performance as a proxy for slide-level outcomes in digital pathology. Researchers benchmarked 19 foundation models across 42 slide-level and 16 …
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Foundation models show modest gains for whole-slide image retrieval in cancer data
A new study published on arXiv evaluates ten different pipelines for whole-slide image retrieval in cancer pathology data. The research found that while the TITAN foundation model performed best, its advantage over patc…
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Foundation models aid lung cancer growth pattern prediction with attention-based learning
Researchers have developed an attention-based multiple instance learning (ABMIL) framework to predict lung adenocarcinoma growth patterns from whole slide images. This method reduces the need for extensive annotations b…