ugurcanakyuz/3D-Volumetric-MedicalImageSegmentationWithDeepLearning
This GitHub repository was created for research focusing on the development of deep learning-based segmentation models for fetal brain tissue.
This project helps medical researchers and clinicians analyze fetal brain development by automatically segmenting different brain tissues from 3D MRI scans. You input raw fetal brain MRI images, and it outputs precise segmented masks for various brain structures. This is ideal for neuroimaging researchers, developmental biologists, or medical professionals studying fetal brain anomalies.
No commits in the last 6 months.
Use this if you need to accurately identify and quantify specific fetal brain tissues from 3D MRI scans for research or clinical assessment.
Not ideal if you are working with non-medical images or different anatomical regions, as this project is specifically tailored for fetal brain segmentation.
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MIT
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May 08, 2024
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