Multi-Scale GCN-Assisted Two-Stage Network for Joint Segmentation of Retinal Layers and Disc in Peripapillary OCT Images

[STACOM-MICCAI 2019] Deep Learning Registration for Cardiac Motion Tracking

Official implementation of "Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models"

A Polyp Screening Framework utilizing deep learning technique

A module that can extract LBP features (local binary pattern) from 3D images. Can be used for extracting features from medical images.

CT scan machine learning models including AxialNet and HiResCAM

24th solution for kaggle APTOS 2019 blindness detection(https://www.kaggle.com/c/aptos2019-blindness-detection)

2nd place solution for Asan HeLP Challenge 2018(Cardiac Segmentation)

2nd place solution for Konyang Health Datathon 2019(Fundus disease classification)

Deep-Learning solution for detecting Intra-Cranial Hemorrhage (ICH) 🧠 using X-Ray Scans in DICOM (.dcm) format.

1st place solution for Asan HeLP Challenge 2019(Cardiac Border Detection)

面向医学图像分类中数据异质性和类不平衡问题的加强联邦学习的设计与分析

基于深度学习的乳腺X光片良恶性分类诊断系统，采用多模型集成（EfficientNet-B3/B4、ResNet50、DenseNet121）结合SWA随机权重平均、Focal Loss和MixUp数据增强，针对CBIS-DDSM数据集实现高精度三分类

This repository contains the source code for Medical Image Registration and Applications (MIRA) course for MAIA masters degree.

Data Loader for Medical Image Segmentation