This file contains the MATLAB source code for developing Ground Truth Dataset, Semantic Segmentation, and Evaluation for Lumbar Spine MRI Dataset. It has the file structure necessary for the execution
OBJECTIVE: To evaluate the relationship of sex and age with Modic and Pfirrmann classifications and verify the relationship between the two classifications in the group of patients studied. METHODS: 3
This is the data used in the paper submitted for publication in 2024 to PLOS ONE journal titled "Lumbar spine MRI annotation with IVD height and Pfirrmann grade predictions (PLOS ONE 2024)" This data
OBJECTIVE: To evaluate the relationship of sex and age with Modic and Pfirrmann classifications and verify the relationship between the two classifications in the group of patients studied. METHODS: 3
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.
