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sfu-mial / DermSynth3D

Star 23

Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich multi-task annotations for various skin-analysis tasks.

medical-imaging body-parser synthesis deeplearning skin-segmentation dermatology 3d-graphics image-blending synthetic-dataset-generation skin-images differentiable-rendering human-body-model lesion-segmentation lesion-detection human-anatomy human-part-segmentation lesion-analysis
  • Updated Jul 28, 2024
  • Jupyter Notebook

pbevan1 / Detecting-Melanoma-Fairly

Star 17

Implementation for MICCAI DART paper: 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'

deep-learning cnn pytorch vae convolutional-neural-networks dermatology variational-autoencoder domain-adaptation debiasing melanoma-detection unlearning melanoma-classification gradient-reversal-layer debiasing-neural-networks gradient-reversal learning-not-to-learn turning-a-blind-eye confusion-loss db-vae skin-tone-detection
  • Updated Jun 22, 2022
  • Python

pbevan1 / Skin-Deep-Unlearning

Star 6

Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'

deep-learning cnn convolutional-neural-networks dermatology icml domain-adaptation debiasing melanoma-detection domain-generalization unlearning melanoma-classification gradient-reversal-layer debiasing-neural-networks gradient-reversal learning-not-to-learn turning-a-blind-eye confusion-loss icml-2022
  • Updated Jul 25, 2022
  • Python

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