There are 2 repositories under dermatology topic.
Tools for workup of the HAM10000 dataset
Transparent medical image AI via an image–text foundation model grounded in medical literature
Dermatology focused medical records software, augmented with computer vision and artificial intelligence [Meteor packaged with Electron]
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.
ISIC 2019 - Skin Lesion Analysis Towards Melanoma Detection
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
Official development code of the Automatic Scoring of Atopic Dermatitis (ASCORAD) by Legit.Health 🩺🤖
Implementation for MICCAI DART paper: 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'
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.
SkinVestigatorAI is an open-source project for deep learning-based skin lesion detection. It aims to create a reliable tool and foster community involvement in critical AI problems. Contributions are welcome!
Experiments of the DAI in Healthcare project - skin lesions images use case - using Flower
skinmesh: Machine learning for facial analysis
Kedro pipelines for preprocessing images for TensorFlow.
Official implementation of the clinical knowledge unification method for the development of the Automatic Urticaria Activity Score (AUAS) by Legit.Health 🩺🤖
Passio Classifier Hackathon-Android
Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification'
:pill: LesionMapper is a tool and a method for standardized mapping of lesions in Dermatology.
An openMRS module for dermatology to map lesions on a body image. Video: https://youtu.be/wy5JPX6AWoM
An implementation of two academic papers on determining skin colour pixels of images. Used to determine individual typology angle (ITA).
Source code and experiments for the paper: "Dark Corner on Skin Lesion Image Dataset: Does it matter?"
Example of how to use MATLAB to generate synthetic images of skin lesions.
Prototype Flutter App to consume SkinHelpDesk.com APIs for cosmetic dermatology.
Using a GAN to synthetically generate medical images for DL purposes
Robust Selective Classification of Skin Lesions with Asymmetric Costs
Automated classification system based on deep learning to predict the presence of melanoma skin cancer.
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).
Calibration of Deep Medical Image Classifiers: An Empirical Comparison using Dermatology and Histopathology Datasets
Melanoma Deep Learning Project: Leveraging the power of deep learning for the detection and analysis of melanoma in medical images. This repository features Python and Jupyter Notebook resources aimed at advancing dermatological diagnostics through artificial intelligence
This repository contains experiments using different XAI methods and ISIC2020 dataset.
My implementation of a Customer Relationship Managegement (CRM) system, based around a startup pharmaceutical company that centres around dermatology. The system involves CRM as well as graphical sales figures (graphs, top ten sellers/buyers) built from the client's input data.
Following repository demonstrates machine learning architectures that can correctly classify lesions between LM and AMH. Overall, our methods showcase the potential for computer-aided diagnosis in dermatology, which, in conjunction with remote acquisition can expand the range of diagnostic tools in the community. This code is implemented using Keras and Tensorflow frameworks.