Digital Dermatology
A joint research effort between the Digital Dermatology Group of the DBE @ UniBas and the ABIZ Lab @ HSLU
Pinned Repositories
data-cleaning-hands-on
Data Cleaning Tutorial - Hands On
data-cleaning-tutorial
Data Cleaning Tutorial - Website
LS
SelfClean
🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.
SelfClean-Revised-Benchmarks
🧼🔎 SelfClean revised versions of benchmark datasets for more reliable performance estimation.
t-loss
Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
Digital Dermatology's Repositories
Digital-Dermatology/t-loss
Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
Digital-Dermatology/SelfClean
🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.
Digital-Dermatology/SelfClean-Revised-Benchmarks
🧼🔎 SelfClean revised versions of benchmark datasets for more reliable performance estimation.
Digital-Dermatology/data-cleaning-hands-on
Data Cleaning Tutorial - Hands On
Digital-Dermatology/data-cleaning-tutorial
Data Cleaning Tutorial - Website
Digital-Dermatology/LS