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Automatic Segmentation of the Human Spinal Cord on 3D MR Images
This thesis is part of an interdisciplinary project to measure changes of the human spinal cord (SC) of healthy subjects. The project aims to estimate the variability of the SC within the healthy population to understand pathological changes of patients of neurological diseases better.
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Keywords: segmentation, spinal cord, medical image analysis, deep learning, machine learning, image analysis, python, programming
Use deep learning to automate 3D segmentation of the human spinal cord.
Use deep learning to automate 3D segmentation of the human spinal cord.
Integrate a deep segmentation network into an already existing framework.
Integrate a deep segmentation network into an already existing framework.