Novel approaches for segmenting cerebral vasculature

Heba Kandil; Ahmed Soliman; Ali Mahmoud; Ahmed Shalaby; Fatma Taher; Mohammed Ghazal; Adel Elmagraby; Ayman El-Baz

doi:10.1088/978-0-7503-1762-7ch14

Novel approaches for segmenting cerebral vasculature

Heba Kandil
, Ahmed Soliman
, Ali Mahmoud
, Ahmed Shalaby
, Fatma Taher
, Mohammed Ghazal
, Adel Elmagraby
, Ayman El-Baz

Abu Dhabi University

University of Louisville
Zayed University, Abu Dhabi Campus

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this chapter, we propose two segmentation approaches that are able to segment cerebral vasculature automatically and accurately. This would potentially help experts in the early analysis and diagnosis of severe diseases, specifically, multiple sclerosis.

Original language	English
Title of host publication	Neurological Disorders and Imaging Physics, Volume 2
Subtitle of host publication	Engineering and clinical perspectives of multiple sclerosis
Publisher	Institute of Physics Publishing
Pages	376-400
Number of pages	25
ISBN (Electronic)	9780750317627
DOIs	https://doi.org/10.1088/978-0-7503-1762-7ch14
State	Published - 1 Jan 2019

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10.1088/978-0-7503-1762-7ch14

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Kandil, H., Soliman, A., Mahmoud, A., Shalaby, A., Taher, F., Ghazal, M., Elmagraby, A., & El-Baz, A. (2019). Novel approaches for segmenting cerebral vasculature. In Neurological Disorders and Imaging Physics, Volume 2: Engineering and clinical perspectives of multiple sclerosis (pp. 376-400). Institute of Physics Publishing. https://doi.org/10.1088/978-0-7503-1762-7ch14

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author = "Heba Kandil and Ahmed Soliman and Ali Mahmoud and Ahmed Shalaby and Fatma Taher and Mohammed Ghazal and Adel Elmagraby and Ayman El-Baz",

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AU - Kandil, Heba

AU - Soliman, Ahmed

AU - Mahmoud, Ali

AU - Shalaby, Ahmed

AU - Taher, Fatma

AU - Ghazal, Mohammed

AU - Elmagraby, Adel

AU - El-Baz, Ayman

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N2 - In this chapter, we propose two segmentation approaches that are able to segment cerebral vasculature automatically and accurately. This would potentially help experts in the early analysis and diagnosis of severe diseases, specifically, multiple sclerosis.

AB - In this chapter, we propose two segmentation approaches that are able to segment cerebral vasculature automatically and accurately. This would potentially help experts in the early analysis and diagnosis of severe diseases, specifically, multiple sclerosis.

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DO - 10.1088/978-0-7503-1762-7ch14

M3 - Chapter

AN - SCOPUS:85122373606

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EP - 400

BT - Neurological Disorders and Imaging Physics, Volume 2

PB - Institute of Physics Publishing

ER -

Novel approaches for segmenting cerebral vasculature

Abstract

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