Selective_Dermatology
importedsoftware/selective-dermatology
Robust Selective Classification of Skin Lesions with Asymmetric Costs
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- UoD-CVIP
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- deep-learning · dermatology · machine-learning · pytorch · research · selective-classification · selectivenet
- 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.
- CIRCLedermatology
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
- CIRCLedermatology
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. Mirror of https://github.com/arezou-pakzad/CIRCLe
- decentralizedAI_dermatologydermatology
Experiments of the DAI in Healthcare project - skin lesions images use case - using Flower
- DermaSwarmdermatology
DermaSwarm is a production-grade multi-agent system designed for dermatologists to collaboratively diagnose and treat skin conditions. Leveraging the power of AI-driven agents, DermaSwarm…
- Dermatrondermatology
Dermatology focused medical records software, augmented with computer vision and artificial intelligence [Meteor packaged with Electron]
- Dermoscopic-Image-ICL-GPT4dermatology
Dermoscopic Image In-Context Learning (ICL) with GPT4v
- api.github.com/repos/UoD-CVIP/Selective_Dermatologyretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-08-19, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/37.json→ .entries["selective-dermatology"]
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