Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks

Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks

Abstract Brain tumour is a serious disease, and the number of people who are dying due to brain tumours is increasing. Manual tumour diagnosis from magnetic resonance images (MRIs) is a time consuming process and is insufficient for accurately detecting, localizing, and classifying the tumour type....

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Bibliographic Details
Main Authors: Mahmoud Khaled Abd-Ellah, Ali Ismail Awad, Ashraf A. M. Khalaf, Hesham F. A. Hamed
Format: Article
Language:English
Published: SpringerOpen 2018-09-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Brain tumour diagnosis
MRI segmentation
Tumour detection and localization
Convolutional neural networks (CNNs)
Online Access:http://link.springer.com/article/10.1186/s13640-018-0332-4

Internet

http://link.springer.com/article/10.1186/s13640-018-0332-4

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