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Found 2 papers, 1 papers with code
Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification
Five-class classification performance was evaluated through five-fold cross-validation, and these cross-validation models were ensembled for evaluation on a hold-out test set and an external set from the Transcanadian study.
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups
Previous subtyping approaches have employed supervised learning which requires fully annotated data, or have only examined single genetic mutations in melanoma patients.
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