Image Classification of Magnetic Resonance Imaging in Autism Spectrum Disorder

Autor: Chin-Hsuan HUANG, 黃沁萱
Rok vydání: 2019
Druh dokumentu: 學位論文 ; thesis
Popis: 107
Early detection and treatments for Autism Spectrum Disorder (ASD) are beneficial in improving the life quality of a patient and his/her family. A recent survey studied deep learning techniques which have been developed over the past decade in detecting various brain diseases from MRIs. Some works which used rs-fMRI for diagnosing ASD were able to obtain diagnostics with an accuracy between 65.56% and 70%. In this research, instead of fMRI, a CNN-based model was proposed to identify reliable ASD-related biomarkers from sMRI. The sMRI images were spatially registered into the MNI stereotaxic space using FMRIB Software Library. In the work a 67.14% diagnosis accuracy and 73% AUC ROC were achieved, which were comparable to other studies using fMRI.
Databáze: Networked Digital Library of Theses & Dissertations