A Modified Parallel NET (MPNET)-Based Deep Learning Technique for the Segmentation and Quantification of Visceral and Superficial Adipose Tissues of CT Scans

A Modified Parallel NET (MPNET)-Based Deep Learning Technique for the Segmentation and Quantification of Visceral and Superficial Adipose Tissues of CT Scans

This study introduces a modified parallel net (MPNET), a novel deep learning model designed for accurate segmentation and quantification of visceral and superficial adipose tissues. This was used to quantify the visceral and superficial adipose tissues found at the L3 levels of vertebra in CT scans....

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Bibliographic Details
Main Authors: Josteve Adekanbi, Debashish Das, Nouh Elmitwally, Aliyuda Ali, Vince I. Madai, Bahadar Bhatia, John Morlese, Muhammed Afsal, Tanay Shah
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
CT scan analysis
deep learning
image post-processing
segmentation and quantification
visceral and superficial adipose tissues
Online Access:https://ieeexplore.ieee.org/document/10870231/
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https://ieeexplore.ieee.org/document/10870231/

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