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?"

Deep learning pipeline for multi-type ISIC 2018 skin lesion classification with CNNs, preprocessing, augmentation, and training and inference support 🐙.

A deep learning pipeline for skin lesion classification using ISIC dataset with multiple deep learning cnn algorithms and advanced preprocessing including multithreaded loading, augmentation, and performance evaluation.

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"