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 - 01:28
DOI:
10.21227/31m9-2789
License:
Creative Commons Attribution
366 Views
Categories:
Artificial Intelligence
Medical Imaging
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.

Comments

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Submitted by Aqsa Shaikh on Mon, 02/13/2023 - 16:28

Dear Sir/Madam
I am writing to request access to this dataset.

Submitted by francis chemorion on Sun, 12/24/2023 - 20:51

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