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
- gan-skin-matlabdermatology · gan
Example of how to use MATLAB to generate synthetic images of skin lesions.
- isic-dicm-17kclassification · dermatology
Repository for the paper: "Skin Lesion Classification Using Dermoscopic Images and Clinical Metadata: Insights from Multimodal Models"
- delpirepresentation-learning
DelPi: Deep Learning-based Peptide Identification Search Engine
- foundation-cancer-image-biomarkerrepresentation-learning
[Nature Machine Intelligence 2024] Code and evaluation repository for the paper
- MultiBenchrepresentation-learning
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
- 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"]
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