CIRCLe
importedsoftware/circle
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- AGPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/arezou-pakzad/CIRCLe
- Documentation
- unknown
- Tags
- bias-mitigation · classification · dermatology · fairness-ai · fairness-ml · gan · representation-learning · skin-lesion-classification
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- CIRCLebias-mitigation · classification · dermatology · fairness-ai · fairness-ml · gan · representation-learning · skin-lesion-classification
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. Mirror of https://github.com/arezou-pakzad/CIRCLe
- isic-2019dermatology · skin-lesion-classification
ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection
- gan-skin-matlabdermatology · gan
Example of how to use MATLAB to generate synthetic images of skin lesions.
- Fair-Codebias-mitigation
Auditing algorithmic bias in criminal justice, hiring, lending, healthcare, welfare, and tenant screening: 7 open-source audits, measurable fairness gaps, and concrete fixes.
- shortcut-ood-fairnessbias-mitigation
[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization
- All-About-the-GANclassification · gan
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
- api.github.com/repos/arezou-pakzad/CIRCLeretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-04-17, 19 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/9.json→ .entries["circle"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.