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GitHub / sfu-mial / DermSynth3D

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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sfu-mial%2FDermSynth3D

Stars: 13
Forks: 3
Open Issues: 1

License: agpl-3.0
Language: Jupyter Notebook
Repo Size: 287 MB
Dependencies: pending

Created: over 1 year ago
Updated: 3 months ago
Last pushed: 2 months ago
Last synced: 22 days ago

Topics: 3d-graphics, body-parser, deeplearning, dermatology, differentiable-rendering, human-anatomy, human-body-model, human-part-segmentation, image-blending, lesion-analysis, lesion-detection, lesion-segmentation, medical-imaging, skin-images, skin-segmentation, synthesis, synthetic-dataset-generation

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