Fisher Contrastive Learning Proposed to Mitigate Feature Suppression in Leukemia Diagnosis
A new arXiv paper introduces Fisher Contrastive Learning, a self-supervised contrastive learning method designed to reduce feature suppression, tested on acute promyelocytic leukemia diagnosis.
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-30 04:00 · arXiv stat.ML
Fisher Contrastive Learning to Mitigate Feature Suppression: A Case Study in Acute Promyelocytic Leukemia Diagnosis