Artifical Intelligence Based Gastrointestinal Abnormality Detection and Segmentation Techniques for Wireless Capsule Endoscopy Images

dc.contributor.guide	Seal, Ayan and Ojha, Aparajita
dc.coverage.spatial	Artifical Intelligence Based Gastrointestinal Abnormality Detection
dc.creator.researcher	Jain, Samir
dc.date.accessioned	2024-09-09T10:58:42Z
dc.date.available	2024-09-09T10:58:42Z
dc.date.awarded	2023
dc.date.completed	2023
dc.date.registered	2018
dc.description.abstract	PDF attached newline
dc.description.note
dc.format.accompanyingmaterial	CD
dc.format.dimensions
dc.format.extent	xxiii,161
dc.identifier.uri	http://hdl.handle.net/10603/588226
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Jabalpur
dc.publisher.university	Indian Institute of Information Technology, Design and Manufacturing, IIITDM Jabalpur
dc.relation	233
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Artificial Intelligence
dc.subject.keyword	Engineering and Technology
dc.title	Artifical Intelligence Based Gastrointestinal Abnormality Detection and Segmentation Techniques for Wireless Capsule Endoscopy Images
dc.title.alternative
dc.type.degree	Ph.D.