Novel Approaches For Segmenting Cerebral Vasculature

Author First name, Last name, Institution

Heba Kandil, University of Louisville
Ahmed Soliman, University of Louisville
Ali Mahmoud, University of Louisville
Ahmed Shalaby, University of Louisville
Fatma Taher, Zayed UniversityFollow
Mohammed Ghazal, Abu Dhabi University
Adel Elmagraby, University of Louisville
Ayman El-Baz, University of Louisville

Document Type

Book Chapter

Source of Publication

Neurological Disorders And Imaging Physics, Vol 2: Engineering And Clinical Perspectives Of Multiple Sclerosis

Publication Date

11-1-2019

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.

DOI Link

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

ISBN

978-0-7503-1762-7; 978-0-7503-1760-3

Publisher

IOP Publishing Ltd

Disciplines

Medicine and Health Sciences

Keywords

Image-analysis Approach, Early-diagnosis, Blood-vessels, Multiple-sclerosis, Automatic-analysis, Segmentation, Framework, Model, Classification, Identification

Scopus ID

85122373606

Recommended Citation

Kandil, Heba; Soliman, Ahmed; Mahmoud, Ali; Shalaby, Ahmed; Taher, Fatma; Ghazal, Mohammed; Elmagraby, Adel; and El-Baz, Ayman, "Novel Approaches For Segmenting Cerebral Vasculature" (2019). All Works. 5049.
https://zuscholars.zu.ac.ae/works/5049

Indexed in Scopus

yes

Open Access

no