GitHub

Brain-Tumor-Detection-and-Segmentation-Using-ResNet50-and-ResUNet

Old project. This project focuses on detecting and localizing brain tumors in MRI scans using deep learning techniques. It utilizes a dataset of brain MRI images and their corresponding masks. To ...
News Medical

Novel framework enhances MRI segmentation using unlabeled data

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled ...
GitHub

Medical Image Segmentation with U-Net Architectures

A professional, production-ready implementation of U-Net architectures for medical image segmentation. This package provides state-of-the-art deep learning models for segmenting medical images from CT ...
Medscape

Brain White and Gray Matter Anatomy of MRI Segmentation Based on Tissue Evaluation

MR segmentation can be roughly divided into 2 categories: a single-image segmentation or multi-spectral-image segmentation, in which multiple MRIs with different gray-scale contrasts are available and ...
IEEE

Self-Supervised Multi-Modal Learning for Accurate MRI Multiple Sclerosis Segmentation

Abstract: Multiple sclerosis causes progressive brain morphology alterations through myelin sheath damage, leading to diverse symptoms depending on the affected brain areas. Magnetic resonance imaging ...