[Nature Medicine'25] A Multimodal Vision Foundation Model for Clinical Dermatology

Transparent medical image AI via an image–text foundation model grounded in medical literature

Tools for workup of the HAM10000 dataset

[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.

Web crawler for DermNet (http://www.dermnet.com/) - one of the greatest data resources for skin diseases.

ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection

Dermatology focused medical records software, augmented with computer vision and artificial intelligence [Meteor packaged with Electron]

Official development code of the Automatic Scoring of Atopic Dermatitis (ASCORAD) by Legit.Health 🩺🤖

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!

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

Train a U-net model for pixel-wise segmentation of facial wrinkles. Based on FFHQ dataset.

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.

skinmesh: Machine learning for facial analysis

Using a GAN to synthetically generate medical images for DL purposes

Data quality analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets

Source code and experiments for the paper: "Dark Corner on Skin Lesion Image Dataset: Does it matter?"