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Found 2 papers, 2 papers with code
BMAD: Benchmarks for Medical Anomaly Detection
However, there is a lack of a universal and fair benchmark for evaluating AD methods on medical images, which hinders the development of more generalized and robust AD methods in this specific domain.
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data
Recently, various deep learning methods have shown significant successes in medical image analysis, especially in the detection of cancer metastases in hematoxylin and eosin (H&E) stained whole-slide images (WSIs).
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