Towards A Robust Cad System For Early Diagnosis Of Autism Using Structural Mri

Author First name, Last name, Institution

Ali Mahmoud, University of Louisville
Yaser ElNakieb, University of Louisville
Ahmed Shalaby, University of Louisville
Ahmed Soliman, University of Louisville
Fatma Taher, Zayed UniversityFollow
Hassan Hajjdiab, Abu Dhabi University
Ashraf Khalil, Abu Dhabi University
Mohammed Ghazal, Abu Dhabi University
Robert Keynton, University of Louisville
Jasjit S. Suri, AtheroPoint
Gregory N. Barnes, University of Louisville
Ayman El-Baz, University of Louisville

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

This chapter discusses a promising computer-aided diagnosis system, devised by our research team, for diagnosing autism at various stages of life, making use of the shape information in brain magnetic resonance imaging. Our system integrates the shape features extracted from both the cerebral white matter and the cerebral cortex.

DOI Link

10.1088/978-0-7503-1793-1ch15

ISBN

978-0-7503-1793-1; 978-0-7503-1764-1

Publisher

IOP Publishing

Disciplines

Medicine and Health Sciences

Keywords

Image-analysis Approach, Cortical Development, Automatic-analysis, Blood-vessels, Surface-area, Brain Volume, Framework, Abnormalities, Segmentation, Classification

Recommended Citation

Mahmoud, Ali; ElNakieb, Yaser; Shalaby, Ahmed; Soliman, Ahmed; Taher, Fatma; Hajjdiab, Hassan; Khalil, Ashraf; Ghazal, Mohammed; Keynton, Robert; Suri, Jasjit S.; Barnes, Gregory N.; and El-Baz, Ayman, "Towards A Robust Cad System For Early Diagnosis Of Autism Using Structural Mri" (2019). All Works. 5051.
https://zuscholars.zu.ac.ae/works/5051

Indexed in Scopus

no

Open Access

no