张志诚's starred repositories
ladybird_MRI
An application to visualize 3D medical images, including MRI and PET scans, with dynamic enhancement features to improve visual analysis.
MedFuseNet
Official Pytorch implementation of MedFuseNet: Fusing Local and Global Deep Feature Representations with Hybrid Attention Mechanisms for Medical Image Segmentation
UDTransNet
This repo is the official implementation of 'Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation' which is an improved journal version of UCTransNet.
Image-Processing-and-Computer-Vision
This repository provides comprehensive tutorials and practical implementations in Python for image processing and computer vision, including medical image processing and its applications, helping you develop and enhance your skills in these specialized areas.
Brain-Segmentation-using-UNet
U-Net, a convolutional neural network architecture, has proven effective in image segmentation tasks. The proposed implementation stands out for its ability to provide real-time segmentation of brain MRI scans, addressing the critical need for efficiency in medical image processing.
invesalius3
3D medical imaging reconstruction software
Pneumonia_detection_app
This project leverages advanced Convolutional Neural Networks (CNN) to detect pneumonia from chest X-ray images. The primary objective is to develop a system that assists medical professionals in diagnosing pneumonia accurately and efficiently.
Semantic_Segmentation_Research
In the process of attempting to reduce the cost of obtaining pixel-level annotations in medical image segmentation. The approach involves leveraging weak supervision from image-level labels, with the goal of maintaining high segmentation accuracy.
Journal-Club
The RISE Journal Club aims to create a friendly environment to discuss the latest state-of-the-art papers in the areas of medical image analysis, AI and computer vision. The moderators will briefly introduce the paper and then moderate a discussion where everyone is welcome to provide their thoughts and ask any questions on the paper.
MedicalMultitaskModeling
Training foundational medical imaging models using multi-task learning.
C2FViT_Medical_Image
This repository refers to C2FViT
Self-Supervised-Learning-for-Medical-Image-Analysis
SSL for Medical Image Analysis
UNet-3-Plus-Pytorch
Unofficial Pytorch Implementation of UNet3Plus: A Full-Scale Connected UNet for Medical Image Segmentation
brain-tumor-detection
This project uses deep learning with CNNs to detect brain tumors in MRI images, aiming for accurate tumor pattern identification.
cornerstone3D
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
COV19D_2nd
ECCV 2022 Workshop: AI-enabled Medical Image Analysis – Digital Pathology & Radiology/COVID19 : An easy-to-understand and lightweight Transfer Learning-based solutions for COVID-19 diagnosis
on-the-fly-guidance
[MICCAI 2024] On-the-Fly Guidance Training for Medical Image Registration. Pre-print available in link below.