Repository logo
 

Learning Effectively from Medical Imaging Datasets

dc.contributor.advisorBui, Francis
dc.contributor.committeeMemberBerscheid, Brian
dc.contributor.committeeMemberSingh, Jaswant
dc.contributor.committeeMemberWu, Fangxiang
dc.contributor.committeeMemberMohamed, Ebrahim Bedeer
dc.contributor.committeeMemberRay, Nilanjan
dc.creatorQin, Xiaoli
dc.creator.orcid0000-0002-2027-7184
dc.date.accessioned2023-08-17T04:05:08Z
dc.date.copyright2023
dc.date.created2023-08
dc.date.issued2023-08-16
dc.date.submittedAugust 2023
dc.date.updated2023-08-17T04:05:08Z
dc.description.abstract
This item is under an embargo. Access to the abstract will not be permitted until 2024-08-16
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10388/14887
dc.language.isoen
dc.subjectMedical image analysis
dc.subjectComputer-aided diagnosis (CAD) system
dc.subjectConvolutional neural networks (CNNs)
dc.subjectGenerative adversarial networks (GANs)
dc.subjectAutomated disease recognition and localization.
dc.titleLearning Effectively from Medical Imaging Datasets
dc.typeThesis
dc.type.materialtext
local.embargo.lift2024-08-16
local.embargo.terms2024-08-16
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Saskatchewan
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
QIN-DISSERTATION-2023.pdf
Size:
5.69 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LICENSE.txt
Size:
2.26 KB
Format:
Plain Text
Description: