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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Detalles Bibliográficos
Main Authors: Neha Sharma, Sheifali Gupta, Adel Rajab, Mohamed A. Elmagzoub, Khairan Rajab, Asadullah Shaikh
Formato: Artigo
Idioma:English
Publicado: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Segmentation
gastrointestinal tract
PSPNet
encoders
MRI scans
radiation therapy
Acceso en liña:https://ieeexplore.ieee.org/document/10328779/

Internet

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

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