Analysis of machine learning approaches for glaucoma classification from color fundus images

dc.contributor.guide	Malaya Kumar, Nath
dc.coverage.spatial
dc.creator.researcher	Poonguzhali, E
dc.date.accessioned	2022-12-28T05:35:38Z
dc.date.available	2022-12-28T05:35:38Z
dc.date.awarded	2022
dc.date.completed	2022
dc.date.registered	2017
dc.description.abstract	Available
dc.description.note	References p. 117-127
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	xxii, 136p.
dc.identifier.uri	http://hdl.handle.net/10603/432546
dc.language	English
dc.publisher.institution	Electronics and Communication Engineering
dc.publisher.place	Puducherry
dc.publisher.university	National Institute of Technology Puducherry
dc.relation	No. of References 136
dc.rights	university
dc.source.university	University
dc.subject.keyword	Convolutional neural network
dc.subject.keyword	Deep learning
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Biomedical
dc.subject.keyword	Ensemble learning
dc.subject.keyword	Fundus image
dc.subject.keyword	Fuzzy c means clustering
dc.subject.keyword	Pre-trained model
dc.subject.keyword	Transfer learning
dc.title	Analysis of machine learning approaches for glaucoma classification from color fundus images
dc.title.alternative
dc.type.degree	Ph.D.