Semantic Segmentation of Gastrointestinal Tract in MRI Scans Using PSPNet Model With ResNet34 Feature Encoding Network-Reference-Cited by-同舟云学术

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

Author:

Sharma Neha¹,Gupta Sheifali¹^ORCID,Rajab Adel²^ORCID,Elmagzoub Mohamed A.³^ORCID,Rajab Khairan²,Shaikh Asadullah⁴^ORCID

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University, Chandigarh, Punjab, India

2. Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia

3. Department of Network and Communication Engineering, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia

4. Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia

Funder

Deanship of Scientific Research at Najran University under the Research Groups Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference35 articles.

2. MobileNets: Efficient convolutional neural networks for mobile vision applications;howard;arXiv 1704 04861,2017

4. EfficientNet: Rethinking model scaling for convolutional neural networks;tan;arXiv 1905 11946,2019

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