Semantic Segmentation of Gastrointestinal Tract in MRI Scans Using PSPNet Model With ResNet34 Feature Encoding Network

Semantic Segmentation of Gastrointestinal Tract in MRI Scans Using PSPNet Model With ResNet34 Feature Encoding Network

Gastrointestinal (GI) cancer is the most common cancer in men and women. GI cancers are increasing every year worldwide. In the biomedical industry, Radiation treatment is a frequent choice for treating cancers of the GI tract in which the oncologist focuses the high range of X-ray beams on the tumo...

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Bibliographic Details
Main Authors: Neha Sharma, Sheifali Gupta, Adel Rajab, Mohamed A. Elmagzoub, Khairan Rajab, Asadullah Shaikh
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Segmentation
gastrointestinal tract
PSPNet
encoders
MRI scans
radiation therapy
Online Access:https://ieeexplore.ieee.org/document/10328779/

Internet

https://ieeexplore.ieee.org/document/10328779/

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