KurtLabUW/brats2023_updated
Kurtlab's code for BraTS 2023 submission
This project provides an optimized framework for automatically identifying and outlining brain tumor subregions from MRI scans. It takes multi-parametric brain MRI images as input and produces precise segmentations of tumor areas, helping medical researchers and clinicians analyze brain tumors more effectively. This is particularly useful for those working on brain tumor research and diagnosis, especially with diverse datasets.
No commits in the last 6 months.
Use this if you need to accurately segment brain tumor subregions from MRI scans, especially if you work with varied datasets like those from different patient populations or varying image resolutions.
Not ideal if you are looking for a general-purpose image segmentation tool outside of brain tumor analysis.
Stars
13
Forks
—
Language
Python
License
—
Category
Last pushed
Apr 29, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/KurtLabUW/brats2023_updated"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
dipy/dipy
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for...
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
Project-MONAI/MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
neuronets/nobrainer
A framework for developing neural network models for 3D image processing.
axondeepseg/axondeepseg
Axon/Myelin segmentation using Deep Learning