An Efficient Adversarial Self-Supervised Representation Learning Model for Classification of Anomalies in Wireless Capsule Endoscopy Images
Date
2023-09-08
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
ORCID
0009-0005-8051-665X
Type
Thesis
Degree Level
Masters
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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