This model was trained as part of the
cgDDI (
Controllable
Generation of
Diverse
Dermatological
Imagery) framework, presented in the paper
Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification.
You can find the other 64 disease-conditioned checkpoints in the official repository.
1@inproceedings{carrion2026cgddi,
2 title = {Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification},
3 author = {Carri{\'o}n, H{\'e}ctor and Norouzi, Narges},
4 booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
5 year = {2026},
6 publisher = {Springer},
7 series = {Lecture Notes in Computer Science}
8}
