Design and Development of Computational Methods for Multi Modal Brain Tumor Segmentation

dc.contributor.guide	Chawla, Indu
dc.coverage.spatial
dc.creator.researcher	Pani, Kaliprasad
dc.date.accessioned	2025-06-04T10:58:17Z
dc.date.available	2025-06-04T10:58:17Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2021
dc.description.abstract	included newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	xxii, 150p.,Synopsis-25p.
dc.identifier.researcherid	0000-0002-7852-036X
dc.identifier.uri	http://hdl.handle.net/10603/644007
dc.language	English
dc.publisher.institution	Department of Computer Science Engineering and Information Technology
dc.publisher.place	Noida
dc.publisher.university	Jaypee Institute of Information Technology
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Adaptive Neuro-Fuzzy Inference System
dc.subject.keyword	Brain Tumor Segmentation
dc.subject.keyword	Computer Science and Engineering and Information Technology
dc.subject.keyword	Computer Science Information Systems
dc.subject.keyword	Computer Vision
dc.subject.keyword	Deep Learning
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Generative Adversarial Network,
dc.subject.keyword	Self Supervised Learning
dc.subject.keyword	Transfer Learning,
dc.title	Design and Development of Computational Methods for Multi Modal Brain Tumor Segmentation
dc.title.alternative
dc.type.degree	Ph.D.