Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3
Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention - Accepted in CVPR 2025
ISIC 2018 - Skin Lesion Classification for Melanoma Detection
Skin lesion segmentation with a U-Net, using the dataset from ISIC challenge 2018.
Skin lesion classification for the ISIC2018 challenge attempted at Persitent Systems
ISIC Challenge 2018 - Task 3 - PyTorch
CNN ensemble for skin lesion classification — BACC 0.846 ± 0.009 · Clinical threshold calibration · ResNet-50 + DenseNet-121 + EfficientNet-B3 · ISIC 2018 Task 3
ISIC 2018 dermoscopy deep learning — all three tasks, a concept-bottleneck experiment, a skin-tone fairness audit, and a scored entry on the live ISIC MILK10k leaderboard (macro F1 0.422). My first DL project, retrained in 2026 with an honest retrospective.
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