YzzLiu/FracSegNet
A deep-learning method for segmenting fractures from 3D CT images.
This tool helps radiologists and orthopedic surgeons automatically identify and outline pelvic fractures from 3D CT scans. You provide a patient's CT image, and it outputs a detailed segmentation of the fractured areas within the pelvic bones (ilia and sacrum). This streamlines the process of diagnosing and planning treatment for severe pelvic injuries.
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Use this if you need a fast, automated way to accurately delineate complex pelvic fractures in 3D CT images, reducing the time and potential errors of manual tracing.
Not ideal if you are working with fracture types other than pelvic fractures, or if you need to analyze CT images where the pelvic bones are not the primary focus.
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37
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7
Language
Python
License
MIT
Category
Last pushed
May 20, 2024
Commits (30d)
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