Tools for workup of the HAM10000 dataset
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Updated
Mar 14, 2021 - Python
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Tools for workup of the HAM10000 dataset
Transparent medical image AI via an image–text foundation model grounded in medical literature
Web crawler for DermNet (http://www.dermnet.com/) - one of the greatest data resources for skin diseases.
Instructions for the removal of duplicate image files from within individual ISIC datasets and across all ISIC datasets.
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'
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 🩺🤖
Experiments of the DAI in Healthcare project - skin lesions images use case - using Flower
Using a GAN to synthetically generate medical images for DL purposes
Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'
Kedro pipelines for preprocessing images for TensorFlow.
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 cross-checks peer-reviewed dermatology research to ensure diagnosis accuracy, generates treatment plans, and outputs results in easy-to-use JSON format.
Official implementation of the clinical knowledge unification method for the development of the Automatic Urticaria Activity Score (AUAS) by Legit.Health 🩺🤖
Dermoscopic Image In-Context Learning (ICL) with GPT4v
Robust Selective Classification of Skin Lesions with Asymmetric Costs
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. Mirror of https://github.com/arezou-pakzad/CIRCLe
Scripts used in "Deep learning for decision support in dermatology". This work was presented as a M. Sc. Thesis for the Technical University of Denmark (DTU).
SkinOptics is an open source Python package with tools for building human skin computational models for Monte Carlo simulations of light transport, as well as tools for analyzing simulation outputs. It can also be used for teaching and exploring about Optical Properties and Colorimetry.
Train a U-net model for pixel-wise segmentation of facial wrinkles. Based on FFHQ dataset.
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