GAN based approaches for polyp segmentation and human face age progression

dc.contributor.advisor	Raman, Shanmuganathan
dc.contributor.author	Vamsi Krishna, Vasa
dc.date.accessioned	2021-10-27T14:12:42Z
dc.date.available	2021-10-27T14:12:42Z
dc.date.issued	2021
dc.identifier.citation	Vamsi Krishna, Vasa(2021).GAN based approaches for polyp segmentation and human face age progression. Gandhinagar: Indian Institute of Technology Gandhinagar, 48p.(Acc. No.: T00886)
dc.identifier.uri	https://repository.iitgn.ac.in/handle/123456789/7177
dc.description.statementofresponsibility	by Vasa Vamsi Krishna
dc.format.extent	v, 48p.: ill.; hbk.; 30 cm.
dc.language.iso	en_US
dc.publisher	Indian Institute of Technology Gandhinagar
dc.subject	19210112
dc.subject	Electrical Engineering
dc.subject	Polyp Detection
dc.subject	Deep Learning
dc.subject	Endoscopy
dc.subject	Polyp Segmentation
dc.subject	GAN Schemes
dc.title	GAN based approaches for polyp segmentation and human face age progression
dc.type	Thesis
dc.contributor.department	Electrical Engineering
dc.description.degree	M.Tech