glioma 开源项目推荐（71 个）

shalabh147 /Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

使用最先进的卷积神经网络架构，包括3D UNet、3D VNet和2D UNet进行脑肿瘤分割，并使用分割的图像特征通过深度神经网络进行患者生存预测。

neuronflow /BraTS-Toolkit

Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.

daniel-scholz /mm-dinov2

Code for MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis (MICCAI2025)

MIC-DKFZ /image-time-series

Code for deep learning-based glioma/tumor growth models

edukait /glioma-classification

The purpose of this project is to be able to automatically and efficiently segment and classify high-grade and low-grade gliomas.

ReubenDo /jSTABL

Learning joint Segmentation of Tissues And Brain Lesions (jSTABL) from task-specific hetero-modal domain-shifted datasets

pykao /BraTS2018-survival-prediction

We provide a method to extract the tractographic features from structural MR images for patients with brain tumor

BrainLesion /GlioMODA

multi-modal MRI BraTS glioma segmentation for various sequence combinations

tomealbuquerque /multimodal-glioma-biomarkers-detection

Multimodal Context-Aware Detection of Glioma Biomarkers using MRI and WSI

JiajinChen /APOLLO

APOLLO is an Accurate and independently validated Prediction mOdel of Lower-grade gLiomas Overall survival

BraTS-inpainting /2025_challenge

BraTS 2025 Inpainting Challenge (Local Synthesis Challenge)

Computational-Imaging-LAB /IRIS-MRS-AI

IRIS-MRS-AI is a tool that classifies IDH and TERTp mutations in gliomas. Besides these capabilities, IRIS-MRS-AI is a tool that can create custom models using users' data.

saizk /GlioScan

IDH Classification for Gliomas using CNN and Transformers.

genmilab /PRIMED

When Iteration Cannot Help: Single-Pass Missing-Modality MRI Synthesis and What Actually Limits It. Official code for PRIMED (WACV 2027)

peterlipan /FoF

The official implementations of our BIBM'24 paper: Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading

cai4cai /rano2.0-assist

3D Slicer extension for glioma response assessment according to the RANO 2.0 criteria

BrainLesion /deep_quality_estimation

Quality estimation for BraTS glioma segmentation models

andreped /neukit

🤗 neukit: web application for automatic brain extraction and preoperative tumor segmentation from MRI

ztsv-av /glioma_segmentation_unet

Automatic glioma segmentation pipeline using a U-Net model trained on the BraTS 2021 dataset, developed as the final project for the Imaging AI course in the Master of Science in Data Science program at the University of Luxembourg.

sakhadyaksa /DeepGliomaThesis

An implementation of Mask R-CNN algorithm to perform automatic object detection, localization, classification and instance segmentation of immunoreactive tumor cells on Ki-67 stained glioma images.