A Multi-instance Learning Network with Prototype-instance Adversarial Contrastive for Cervix Pathology Grading
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The pathological grading of cervical squamous cell carcinoma (CSCC) is a fundamental and important index in tumor diagnosis. Pathologists tend to focus on single differentiation areas during the grading process. Existing multi-instance learning (MIL) methods d... ...
