PaddleCV-SIG/MedicalSeg
MedicalSeg is an easy-to-use 3D medical image segmentation toolkit that supports the whole segmentation process. Specially, We provide data preprocessing acceleration, high precision model on COVID-19 CT scans dataset and MRISpineSeg spine dataset, and a 3D visualization demo based on itkwidgets.
This toolkit helps medical professionals, researchers, and imaging specialists automatically outline specific anatomical structures within 3D medical images. You input raw 3D CT or MRI scans, and it precisely segments areas like lungs from CT scans or vertebrae from MRI scans, providing clear, labeled regions. This is ideal for anyone analyzing or quantifying features in medical imaging.
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Use this if you need to accurately and quickly segment specific organs or structures from large volumes of 3D medical images for research, diagnosis, or treatment planning.
Not ideal if you are working with 2D images only or if your primary need is general image enhancement rather than precise anatomical delineation.
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81
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15
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 14, 2022
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