Hippocampal Segmentation and Pseudolabel generation for Alzheimer’s Classification

Authors

Roba Al Majzoub, Mohamed bin Zayed University of Artificial IntelligenceFollow

Document Type

Dissertation

Abstract

Alzheimer's disease is the top cause of dementia among people aged 65 and above. It is a progressive disease that leaves the patient unable to live his life normally and eventually degrades the patient's cognitive ability and bodily functions and may lead to death. Early diagnosis may help doctors delay the progress of the disease and allow the patient to live a long time in better mental and physical states. In this study, we investigate the early diagnosis of Alzheimer's patients using MRI scans of the hippocampal regions with segmentation ground truths and propose a pseudo-label generation method for class labels based on a sample dataset.

First Page

i

Last Page

43

Publication Date

1-12-2022

Comments

Thesis submitted to the Deanship of Graduate and Postdoctoral Studies

In partial fulfillment of the requirements for the M.Sc degree in Computer Vision

Advisors: Dr. Mohammad Yaqub, Dr. Karthik Nandakumar

Online access for MBZUAI patrons

Recommended Citation

R. Al Majzoub, "Hippocampal Segmentation and Pseudolabel generation for Alzheimer’s Classification", M.S. Thesis, Computer Vision, MBZUAI, Abu Dhabi, UAE, 2022.