yhygao/CBIM-Medical-Image-Segmentation
A PyTorch framework for medical image segmentation
This framework helps academic researchers in medical imaging automatically outline structures within medical scans like CTs and MRIs. You feed it raw patient scans (e.g., cardiac MRIs, abdominal CTs), and it outputs precise segmentations of organs or tumors. It's designed for scientists developing and testing new deep learning models for medical image analysis.
342 stars. No commits in the last 6 months.
Use this if you are an academic researcher developing or evaluating deep learning models for medical image segmentation and need a flexible, PyTorch-based framework.
Not ideal if you are a clinician seeking a certified, off-the-shelf diagnostic tool for patient care.
Stars
342
Forks
57
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 15, 2024
Commits (30d)
0
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