An efficient brain tumor image segmentation based on deep residual networks (ResNets)

An efficient brain tumor image segmentation based on deep residual networks (ResNets)

Automatic segmentation of brain tumor from Magnetic Resonance Images (MRI) is one of the challenging tasks in computer vision. Many proposals investigate the use of Deep Neural Networks (DNN) in image segmentation as they have a high performance in automatic segmentation of brain tumors images. Due...

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Bibliographic Details
Main Authors: Lamia H. Shehab, Omar M. Fahmy, Safa M. Gasser, Mohamed S. El-Mahallawy
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Journal of King Saud University: Engineering Sciences
Subjects:
Brain tumor segmentation
Magnetic Resonance Imaging (MRI)
Deep Neural Networks (DNN)
Deep Residual Learning Network (ResNet)
Online Access:http://www.sciencedirect.com/science/article/pii/S1018363920302506

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http://www.sciencedirect.com/science/article/pii/S1018363920302506

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