zekikus/MedSegBench
[pip install medsegbench] 35x Standardized Medical Segmentation Datasets from Different Data Modalities
This project helps medical researchers and AI developers evaluate how well deep learning models can identify specific structures or abnormalities in medical images. It provides standardized collections of ultrasound, MRI, and X-ray images, with clearly marked areas of interest, for training and testing. Researchers and developers working on medical image analysis will find this useful for comparing different segmentation algorithms.
No commits in the last 6 months. Available on PyPI.
Use this if you need to benchmark the performance of medical image segmentation models across a diverse set of real-world clinical data from various imaging modalities.
Not ideal if you are looking for a ready-to-use clinical diagnostic tool, as this project focuses on research and development of segmentation algorithms.
Stars
29
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 27, 2024
Commits (30d)
0
Dependencies
7
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