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Found 4 papers, 1 papers with code
Identifying and mitigating bias in algorithms used to manage patients in a pandemic
Numerous COVID-19 clinical decision support systems have been developed.
Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer
The prognosis for patients with epithelial ovarian cancer remains dismal despite improvements in survival for other cancers.
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
Based on the nature of histopathology images, a range of difficulty inherently exists among examples, and, since medical datasets are often labeled by multiple annotators, annotator agreement can be used as a natural proxy for the difficulty of a given example.
Difficulty Translation in Histopathology Images
Our model comprises a scorer, which provides an output confidence to measure the difficulty of images, and an image translator, which learns to translate images from easy-to-classify to hard-to-classify using a training set defined by the scorer.
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