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. 

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[1] Chao Hou, "A Semantic Segmentation Model for Lumbar MRI Images using Using Divergence Loss", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/31m9-2789. Accessed: May. 18, 2022.
@data{31m9-2789-22,
doi = {10.21227/31m9-2789},
url = {http://dx.doi.org/10.21227/31m9-2789},
author = {Chao Hou },
publisher = {IEEE Dataport},
title = {A Semantic Segmentation Model for Lumbar MRI Images using Using Divergence Loss},
year = {2022} }
TY - DATA
T1 - A Semantic Segmentation Model for Lumbar MRI Images using Using Divergence Loss
AU - Chao Hou
PY - 2022
PB - IEEE Dataport
UR - 10.21227/31m9-2789
ER -
Chao Hou. (2022). A Semantic Segmentation Model for Lumbar MRI Images using Using Divergence Loss. IEEE Dataport. http://dx.doi.org/10.21227/31m9-2789
Chao Hou, 2022. A Semantic Segmentation Model for Lumbar MRI Images using Using Divergence Loss. Available at: http://dx.doi.org/10.21227/31m9-2789.
Chao Hou. (2022). "A Semantic Segmentation Model for Lumbar MRI Images using Using Divergence Loss." Web.
1. Chao Hou. A Semantic Segmentation Model for Lumbar MRI Images using Using Divergence Loss [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/31m9-2789
Chao Hou. "A Semantic Segmentation Model for Lumbar MRI Images using Using Divergence Loss." doi: 10.21227/31m9-2789