Automated model for recognition and classification of vitiligo using deep learning hybrid model

dc.contributor.guide	Aurelia, Sagaya
dc.coverage.spatial
dc.creator.researcher	Neha, Agrawal
dc.date.accessioned	2025-06-24T04:38:31Z
dc.date.available	2025-06-24T04:38:31Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2019
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions	A4
dc.format.extent	xi, 166p.;
dc.identifier.researcherid	0000-0003-0445-0597
dc.identifier.uri	http://hdl.handle.net/10603/648110
dc.language	English
dc.publisher.institution	Department of Computer Science
dc.publisher.place	Bangalore
dc.publisher.university	CHRIST University
dc.relation	147
dc.rights	university
dc.source.university	University
dc.subject.keyword	Activation Function,
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Artificial Intelligence
dc.subject.keyword	Deep Learning,
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Segmentation.
dc.subject.keyword	Transfer Learning,
dc.subject.keyword	Vitiligo,
dc.title	Automated model for recognition and classification of vitiligo using deep learning hybrid model
dc.title.alternative
dc.type.degree	Ph.D.