A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

[MICCAI 2023] DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation

International Skin Imaging Collaboration: Melanoma Project

The official command line tool for interacting with the ISIC Archive.

U-Net-based Models for Skin Lesion Segmentation: More Attention and Augmentation

Instructions for the removal of duplicate image files from within individual ISIC datasets and across all ISIC datasets.

A template for submitting algorithms to the ISIC Challenge

This project aims to apply Artificial Intelligence in the detection and classification of skin cancers.

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

ISIC Challenge submission platform.

ISIC2016challenge

This repository contains experiments using different XAI methods and ISIC2020 dataset.

A Python SDK Library for working with the International Standard Industrial Classification of All Economic Activities (ISIC), Revision 4.

Parses the "Classification of Economic Activities" (wz2008) issued by the Statistisches Bundesamt to build multiple hierarchically structured trees.

Source code for the paper: "Dermoscopic Dark Corner Artifacts Removal: Friend or Foe?"

ISIC challenge leaderboard Analytics Tool

Developing a CNN-based model to diagnose skin cancer using the ISIC-2019 dataset.

DiscountManager API client

This project aims to predict the presence of skin cancer using a hybrid deep learning model that integrates both tabular data and image data. The dataset used is the ISIC dataset, which contains skin lesion images along with associated metadata. The model achieves an accuracy of 88% on the test set.