Integrating anisotropic filtering, level set methods and convolutional neural networks for fully automatic segmentation of brain tumors in magnetic resonance imaging
An accurate, fully automatic detection and segmentation technique for brain tumors in magnetic resonance images (MRI) is introduced. The approach basically combines geometric active contours segmentation with a deep learning-based initialization. As a pre-processing step, an anisotropic filter is us...
Main Authors: | Mohammad Dweik, Roberto Ferretti |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-09-01
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Series: | Neuroscience Informatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772528622000577 |
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