A Semantic Segmentation Model for Lumbar MRI Images using Using Divergence Loss

Citation Author(s):: Chao Hou
Submitted by:: Chao Hou
Last updated:: Thu, 01/13/2022 - 06:28
DOI:: 10.21227/31m9-2789

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Categories:

Keywords:

Spinal stenosis

MRI

artificial intelligence

Deep Learning

Semantic Segmentation

Computer-aided diagnosis

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Abstract

Research data associated with paper: A Semantic Segmentation Model for Lumbar MRI Images using Divergence Loss, comprising the python code, a trained model and empirical results.

Instructions:

The folder named "code" is the implemented code. The folder named "checkpoint" is the trained model. The folder named "data" is our empirical data and some segmentation results.