Repository logo
 

An Efficient Adversarial Self-Supervised Representation Learning Model for Classification of Anomalies in Wireless Capsule Endoscopy Images

Date

2023-09-08

Journal Title

Journal ISSN

Volume Title

Publisher

ORCID

0009-0005-8051-665X

Type

Thesis

Degree Level

Masters

This item is under an embargo.

Access to the abstract and all associated documents will not be permitted until 2024-09-08.

Description

Keywords

Artificial Intelligence, Self-Supervised Learning, Wireless Capsule Endoscopy, Generative Adversarial Network

Citation

Degree

Master of Science (M.Sc.)

Department

Electrical and Computer Engineering

Program

Electrical Engineering

Advisor

Part Of

item.page.relation.ispartofseries

DOI

item.page.identifier.pmid

item.page.identifier.pmcid