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Optimal Res-UNET architecture with deep supervision for tumor segmentation
Rahman Maqsood
, Fazeel Abid
, Jawad Rasheed
, Onur Osman
,
Shtwai Alsubai
Computer Sciences
University of Management and Technology
The University of Lahore
Istanbul Sabahattin Zaim University
Nisantasi Universitesi
Applied Science Private University
Istanbul Topkapi University
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Scopus citations
Overview
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Engineering
Deep Learning Method
100%
Computational Efficiency
100%
Autoencoder
100%
Regularization
100%
Enhanced Model
100%
Segmentation Method
100%
Computer Science
Tumor Segmentation
100%
U-Net
100%
segmentation accuracy
25%
Medical Imaging
16%
Postprocessing
16%
Deep Learning Method
8%
Performance Model
8%
Computational Efficiency
8%
Regularization
8%
Fold Cross Validation
8%
Autoencoder
8%
Segmentation Method
8%
Segmentation Task
8%
Biochemistry, Genetics and Molecular Biology
Magnetic Resonance Imaging
100%