There are 9 repositories under medical-image-classification topic.
A collection of resources on applications of Transformers in Medical Imaging.
Official Repository of NeurIPS 2023 - MedFM Challenge
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
a framework for Automated Classification of Medical Images
Deep Multimodal Guidance for Medical Image Classification: https://arxiv.org/pdf/2203.05683.pdf
A collection of papers published in MICCAI 2024 with their code.
Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et al.
A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification
This repo is the official implementation of TMI2024 paper "Prompt-driven Latent Domain Generalization for Medical Image Classification".
Simple study on ViT performance in medical image classification
Official repository of the paper "Explainable Deep Learning Methods in Medical Image Classification: A Survey", ACM Computing Surveys (CSUR) 2023
Implementation of Deep Neural Networks to solve Medical Image Classification using Chest XRay Images
COVID-19 Classification from 3D CT Images
The repository focuses on conducting Federated Learning experiments using the Intel OpenFL framework with diverse machine learning models, utilizing image and tabular datasets, applicable different domains like medicine, banking etc.
Solution for NeurIPS 2023 - MedFM Challenge
Prediction of the status of a genetic biomarker for brain cancer treatment.
Official Code for "StAlK: Structural Alignment based Self Knowledge distillation for Medical Image Classification" Published at Knowledge Based Systems Journal
Official Code for "Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-distillation" accepted at MICCAI2024
This is a repository for Data Science Projects.
HAM10000 Skin Lesion Classification
Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection —— Computers in Biology and Medicine
From dataset https://www.kaggle.com/datasets/davidbroberts/brain-tumor-object-detection-datasets/data?select=sagittal_t1wce_2_class a model is obtained, based on yolov10 to indicate a brain tumor type: sagittal_t1wce
Breast cancer detection with screening mammograms obtained from regular screening.
Coursework created for the COM3001 Professional Project module during my Computer Science BSc at Surrey University
Proyecto de inteligencia artificial para clasificar imágenes de lesiones de piel en nueve categorías dermatológicas utilizando redes neuronales convolucionales (CNN).
Visualizing 3D ResNet for Medical Image Classification With Score-CAM
Quantum Transfer Learning for Lymph Node Metastases Detection
This repository contains the final project of the course Visual Analytics which is a part of the elective Cultural Data Science at Aarhus University. In this final project a skin cancer classifier has been build in order to segment and classify a collection of dermatoscopic images in to seven types of skin cancer.