On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness

This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images

Kurtlab's code for BraTS 2023 submission

Chinese-Medical-Question-Answering-Data

I-JEPA x Fundus Image

This repository houses machine learning models and pipelines for predicting various diseases, coupled with an integration with a Large Language Model for Diet and Food Recommendation. Each disease prediction task has its dedicated directory structure to maintain organization and modularity.

AI Medical Scribe / Medical Notes AI App for Android & IOS available for a very low cost!

AI based Medical Assistance App

Large language model of Medical AI, General Medical AI (GMAI)

Machine Learning based Diabetes Detection

This repository aims to present a general, customazible pipeline for MRI images based on a single configuration file (in .json format) that has different flags and according to them, a certain pre-processing procedure with desired steps is performed.

An AI system that can detect and localise pathologies exists in human Chest X-Rays.

⛏️A collection of tools and practices for image registration. | 图像配准的工具和实践集合

This is a simple neural network model trainer, (first named tensor dumbass), that is specially designed for medical AI and ease of use. Note that this code is specially created to work with larger tasks for classification tasks and some generative tasks. Furthermore this code is mainly aimed to help to cure cancer using Crisper technologies.

AI application on Django 2 - "MedRadService"

Medical AI Paper List