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access icon Withdrawn: Fully automated brain tumour segmentation system in 3D-MRI using symmetry analysis of brain and level-sets

© The Institution of Engineering and Technology
Received 19/04/2018, Accepted 01/07/2018, Published 20/07/2018

The following article published in IET Image Processing, Adel Kermi, Khaled Andjouh, Ferhat Zidane: ‘A Fully Automated Brain Tumor Segmentation System in 3D-MRI using Symmetry Analysis of Brain and Level-Sets’, IET Image Processing, 2018, DOI: 10.1049/iet-ipr.2018.5332 on 20 July 2018 has been withdrawn by agreement between the authors, the Editor-in-Chief, Farzin Deravi, and the Institution of Engineering and Technology. The withdrawal has been made due to a system error which duplicated the paper.

Other keywords: magnetic resonance imaging; automatic tumour extraction; tumour types; brain symmetry analysis method; treatment planning; noise removal; tumour shapes; image pre-processing; surgical planning; three-dimensional deformable model; accurate brain tumour segmentation method; boundary-based segmentation methods; fully automated brain tumour segmentation system; geodesic level set; manual segmentation performances; 3D-MRI; accurate detection; tumour boundaries; head image; fast bounding box method; therapy evaluation; automated tumour detection; region-based segmentation methods; MRI volumes; BraTS 2017 dataset

Subjects: Optical, image and video signal processing; Medical magnetic resonance imaging and spectroscopy; Biology and medical computing; Biomedical magnetic resonance imaging and spectroscopy; Patient diagnostic methods and instrumentation; Computer vision and image processing techniques

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-ipr.2018.5332
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