Tools for workup of the HAM10000 dataset
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Updated
Mar 14, 2021 - Python
Tools for workup of the HAM10000 dataset
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
Implementation for MICCAI DART paper: 'Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification'
Dermatology focused medical records software, augmented with computer vision and artificial intelligence [Meteor packaged with Electron]
Transparent medical image AI via an image–text foundation model grounded in medical literature
Experiments of the DAI in Healthcare project - skin lesions images use case - using Flower
Kedro pipelines for preprocessing images for TensorFlow.
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.
This repository contains experiments using different XAI methods and ISIC2020 dataset.
Skin cancer misdiagnosis by dermatologists is not uncommon. 25-33% of the skin cancers are incorrectly diagnosed as eczema or another less serious disease. The overall goal is to design and implement an application that can effectively classify whether a patient developed skin cancer based on photographs of skin lesions on dermatologic slides.
Implementation for ICML 2022 paper: 'Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma 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!
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. Mirror of https://github.com/arezou-pakzad/CIRCLe
Using a GAN to synthetically generate medical images for DL purposes
Using Convolutional Neural Networks to distinguish between malignant and benign skin lesions
SkinCared is a B2C, E-commerce web application that specialises in the procurement and selling of the worlds finest Eastern & Western skincare brands.
Instructions for the removal of duplicate image files from within individual ISIC datasets and across all ISIC datasets.
skinmesh: Machine learning for facial analysis
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