A Noninvasive Image-Based Approach Toward An Early Diagnosis Of Autism
Document Type
Book Chapter
Source of Publication
Neurological Disorders And Imaging Physics, Vol 3: Application To Autism Spectrum Disorders And Alzheimer's
Publication Date
11-1-2019
Abstract
The ultimate goal of this chapter is to develop a computer-aided diagnostic system for the accurate and early diagnosis of autism spectrum disorder using diffusion tensor imaging. This system consists of three main steps. First, the brain tissues are segmented based on three image descriptors. Second, discriminatory features are extracted from the segmented brains. Finally, the diagnostic capabilities of these extracted features are investigated.
DOI Link
ISBN
978-0-7503-1793-1; 978-0-7503-1764-1
Publisher
IOP Publishing
Disciplines
Medicine and Health Sciences
Keywords
Blood-vessels, Automatic Segmentation, Brain Volume, Framework, Model, Classification, Identification, Abnormalities, System, MRI
Recommended Citation
ElNakieb, Yaser; Shalaby, Ahmed; Mahmoud, Ali; Hajjdiab, Hassan; Khalil, Ashraf; Ghazal, Mohammed; Taher, Fatma; Soliman, Ahmed; Keynton, Robert; Barnes, Gregory; and El-Baz, Ayman, "A Noninvasive Image-Based Approach Toward An Early Diagnosis Of Autism" (2019). All Works. 5050.
https://zuscholars.zu.ac.ae/works/5050
Indexed in Scopus
no
Open Access
no