Skin lesion image analysis that draws on meta-learning to improve performance in low data and imbalanced data regimes.
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Updated
Jan 22, 2025 - Python
Skin lesion image analysis that draws on meta-learning to improve performance in low data and imbalanced data regimes.
The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation
Skin Lesion Classification Analysis: A Comparative Study
Source code for the paper: "Dermoscopic Dark Corner Artifacts Removal: Friend or Foe?"
A computer vision and machine learning pipeline for automatic skin cancer detection from dermoscopic images. Achieves high accuracy using traditional ML techniques with preprocessing, feature extraction, and ensemble learning.
[MICCAI ISIC 2024] Code for "Lesion Elevation Prediction from Skin Images Improves Diagnosis"
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