steve-zeyu-zhang/Awesome-3D-Medical-Imaging-Segmentation
3D Medical Imaging Segmentation: A Comprehensive Survey
This resource provides a curated collection of research papers and associated code for advanced 3D medical image segmentation techniques. It helps medical researchers and practitioners find the latest methods to accurately delineate specific structures or abnormalities from complex 3D medical scans like MRI or CT. The input is academic papers and their implementations, and the output is knowledge and practical code examples for segmenting organs, tumors, or other anatomical features.
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Use this if you are a medical researcher, radiologist, or biomedical engineer looking to implement or evaluate cutting-edge 3D medical image segmentation algorithms for tasks like disease diagnosis or treatment planning.
Not ideal if you are looking for a ready-to-use software application or a simple tutorial for basic image editing, as this resource focuses on advanced research and development.
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Feb 10, 2024
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