Integrating anisotropic filtering, level set methods and convolutional neural networks for fully automatic segmentation of brain tumors in magnetic resonance imaging

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...

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Bibliographic Details
Main Authors: Mohammad Dweik, Roberto Ferretti
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Neuroscience Informatics
Subjects:
Anisotropic diffusion filter
Image segmentation
Active contours
Deep learning
Convolutional neural networks
Object detectors
Online Access:http://www.sciencedirect.com/science/article/pii/S2772528622000577

Internet

http://www.sciencedirect.com/science/article/pii/S2772528622000577

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