Deep Learning Methods for Detection of Cerebral Anomalies and Enhancements in Endoscopic Surgery Procedures

dc.contributor.guide	Rao, Madhav and Sinha, Neelam
dc.coverage.spatial
dc.creator.researcher	Agarwal, Snigdha
dc.date.accessioned	2026-02-03T06:30:42Z
dc.date.available	2026-02-03T06:30:42Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2018
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	xxix, 198p.
dc.identifier.researcherid	0000-0003-1503-3393
dc.identifier.uri	http://hdl.handle.net/10603/691846
dc.language	English
dc.publisher.institution	Department of Networking Communication and Signal Processing
dc.publisher.place	Bangalore
dc.publisher.university	International Institute of Information Technology Bangalore
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Convolutional Neural Ne
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Gesture Segmentation
dc.subject.keyword	Graph Based Classification
dc.subject.keyword	Intracranial Hemorrhages
dc.subject.keyword	Radiomics
dc.subject.keyword	Robotic Surgery
dc.subject.keyword	Siamese Networks
dc.subject.keyword	Telecommunications
dc.title	Deep Learning Methods for Detection of Cerebral Anomalies and Enhancements in Endoscopic Surgery Procedures
dc.title.alternative
dc.type.degree	Ph.D.