Digital Dermatology

All

12 repositories

hyperbolic-learning-tutorial
Public
Website for the Hyperbolic Learning in Action Tutorial
JavaScript
•
MIT License
•0•0•0•0•Updated Nov 25, 2024Nov 25, 2024
self-supervised-dermatology
Public
Codebase for the Paper "Towards Small-Scale Foundation Models for Digital Dermatology" (ML4H'24)
Python
•0•1•0•0•Updated Nov 8, 2024Nov 8, 2024
SelfClean
Public
🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors (NeurIPS'24).
machine-learning deep-learning data-cleaning data-curation self-supervised-learning data-centric-ai neurips-2024
Python
•
Other
•1•24•0•0•Updated Nov 7, 2024Nov 7, 2024
PASSION_project
Public
Repository for the PASSION project
ai dermatology
Jupyter Notebook
•0•1•0•0•Updated Nov 6, 2024Nov 6, 2024
SelfClean-Evaluation
Public
Evaluation for the Paper "Intrinsic Self-Supervision for Data Quality Audits" (NeurIPS'24)
Python
•0•0•0•0•Updated Oct 15, 2024Oct 15, 2024
PASSION-Evaluation
Public
Evaluation for the PASSION dataset.
Python
•
Other
•0•1•0•0•Updated Oct 8, 2024Oct 8, 2024
LS
Public
Python
•0•0•0•0•Updated Jul 16, 2024Jul 16, 2024
PASSION_verification_tool
Public
Tool to verify PASSION datsaets images and labels.
Python
•0•0•0•0•Updated Jun 21, 2024Jun 21, 2024
data-cleaning-hands-on
Public
Data Cleaning Tutorial - Hands On
Jupyter Notebook
•
Other
•0•4•0•0•Updated Mar 25, 2024Mar 25, 2024
data-cleaning-tutorial
Public
Data Cleaning Tutorial - Website
0•2•0•0•Updated Mar 23, 2024Mar 23, 2024
SelfClean-Revised-Benchmarks
Public
🧼🔎 SelfClean revised versions of benchmark datasets for more reliable performance estimation.
benchmarks data-cleaning data-quality data-quality-assessment data-centric-ai
Apache License 2.0
•0•7•0•0•Updated Dec 19, 2023Dec 19, 2023
t-loss
Public
Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
pytorch medical-imaging image-segmentation medical-image-analysis miccai2023 robust-segmentation t-loss tloss
Python
•
Apache License 2.0
•6•44•4•0•Updated Oct 29, 2023Oct 29, 2023