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.

Date Created 2023-03-08 (about a year ago)

Commits 24 (last one 5 months ago)

Stargazers 25 (0 this week)

Watchers 8 (0 this week)

Forks 3

License agpl-3.0

Ranking

RepositoryStats indexes 599,932 repositories, of these sfu-mial/DermSynth3D is ranked #593,076 (1st percentile) for total stargazers, and #247,525 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #17,419/17,704.

sfu-mial/DermSynth3D is also tagged with popular topics, for these it's ranked: deeplearning (#407/408), medical-imaging (#291/291), 3d-graphics (#284/285)

Other Information

There have been 3 releases, the latest one was published on 2024-04-09 (8 months ago) with the name Accepted to MedIA version..

Homepage URL: https://cvi2.uni.lu/3dbodytexdermsynth/

All Topics

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

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Recent Commit History

24 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-12-27 @ 04:27pm, id: 611057002 / R_kgDOJGv9ag