[Nature Medicine'25] A Multimodal Vision Foundation Model for Clinical Dermatology
Tools for workup of the HAM10000 dataset
Transparent medical image AI via an image–text foundation model grounded in medical literature
[ICCV'25 Highlight] Derm1M: A Million‑Scale Vision‑Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology
Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich multi-task annotations for various skin-analysis tasks.
Instructions for the removal of duplicate image files from within individual ISIC datasets and across all ISIC datasets.
Dermatology focused medical records software, augmented with computer vision and artificial intelligence [Meteor packaged with Electron]
ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection
Web crawler for DermNet (http://www.dermnet.com/) - one of the greatest data resources for skin diseases.
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
Implementation for MICCAI DART paper: 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'
Experiments of the DAI in Healthcare project - skin lesions images use case - using Flower
LesNet (Lesion Net) is an open-source project for AI-based skin lesion detection. It aims to create a reliable tool and foster community involvement in critical AI problems. Contributions are welcome!
Official development code of the Automatic Scoring of Atopic Dermatitis (ASCORAD) by Legit.Health 🩺🤖
Train a U-net model for pixel-wise segmentation of facial wrinkles. Based on FFHQ dataset.
skinmesh: Machine learning for facial analysis
Using a GAN to synthetically generate medical images for DL purposes
Cross-platform mobile app that detects facial skin type and conditions using AI. Recommends skincare products based on skin profile and allergies. React Native frontend, Flask backend, MongoDB database, OpenCV face detection, and CNN-based diagnosis. Includes lifestyle and product suggestions.
Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'
💊 LesionMapper is a tool and a method for standardized mapping of lesions in Dermatology.
Add a description, image, and links to the dermatology topic page so that developers can more easily learn about it.
To associate your repository with the dermatology topic, visit your repo's landing page and select "manage topics."