An Efficient Adversarial Self-Supervised Representation Learning Model for Classification of Anomalies in Wireless Capsule Endoscopy Images
| dc.contributor.committeeMember | Bui, Francis | |
| dc.contributor.committeeMember | Wahid, Khan | |
| dc.contributor.committeeMember | Liang, Xiaodong | |
| dc.contributor.committeeMember | Jin, Lingling | |
| dc.creator | Jamali, Ali | |
| dc.creator.orcid | 0009-0005-8051-665X | |
| dc.date.accessioned | 2023-09-08T18:26:55Z | |
| dc.date.copyright | 2023 | |
| dc.date.created | 2023-08 | |
| dc.date.issued | 2023-09-08 | |
| dc.date.submitted | August 2023 | |
| dc.date.updated | 2023-09-08T18:26:56Z | |
| dc.description.abstract | This item is under an embargo. Access to the abstract will not be permitted until 2024-09-08 | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | https://hdl.handle.net/10388/14961 | |
| dc.language.iso | en | |
| dc.subject | Artificial Intelligence, Self-Supervised Learning, Wireless Capsule Endoscopy, Generative Adversarial Network | |
| dc.title | An Efficient Adversarial Self-Supervised Representation Learning Model for Classification of Anomalies in Wireless Capsule Endoscopy Images | |
| dc.type | Thesis | |
| dc.type.material | text | |
| local.embargo.lift | 2024-09-08 | |
| local.embargo.terms | 2024-09-08 | |
| thesis.degree.department | Electrical and Computer Engineering | |
| thesis.degree.discipline | Electrical Engineering | |
| thesis.degree.grantor | University of Saskatchewan | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.Sc.) |