← Back to papers
2024 MICCAI MICCAI 2024

Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation

🚀 Conference Pioneer — MICCAI 2024
🌉 Interdisciplinary Bridge — Healthcare & Medicine and Machine Learning
🐝 Cross-Pollinator — Artificial Intelligence, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio

Authors

Saurabh Sharma , Atul Kumar , Joydeep Chandra

Topics

Machine Learning > Learning Types > Contrastive Learning Machine Learning > Application Areas > Knowledge Distillation Healthcare & Medicine > Clinical > Medical Imaging

Keywords

contrastive learning uncertainty quantification knowledge distillation medical image classification
Download PDF

Related papers

ASPS: Augmented Segment Anything Model for Polyp Segmentation 2024
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks 2024
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation 2024
SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography 2024
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues 2024