[UIUC CS598 LHO/DL4H, fanz6] ISIC2018 Dataset + ISCS2018 Artifacts Dataset + Training Example

[ffanzhang]

Name: Fan Zhang
NetID: fanz6
Email: fanz6@illinois.edu
Type of contribution: Dataset + Task
Paper: https://proceedings.mlr.press/v287/jin25b.html

Implementation:

• ISIC2018 Dataset (https://challenge.isic-archive.com/data/#2018)
• An annotation Dataset based on ISIC2018 (https://github.com/alceubissoto/debiasing-skin)
• Paper Code (https://github.com/QixuanJin99/dermoscopic_artifacts)
  • Replication code for classification: examples/isic2018_artifacts_classification_resnet50.py
  • Ablation also under examples/isic2018_artifacts_classification_resnet50.py with different sigma, bigger sigma means stronger low pass filter.

Notes:

• added opencv-python-headless to pyproject.toml for faster image processing. As a result, pixi.lock has about ~125 line changes.