Performance analysis of segmentation and classification of CT-scanned ovarian tumours using U-Net and deep convolutional neural networks

dc.contributor.author	Kodipalli, Ashwini
dc.contributor.author	Fernandes, Steven L.
dc.contributor.author	Vaishnavi Gururaj
dc.contributor.author	Shriya Varada Rameshbabu
dc.contributor.author	Dasar, Santosh K.
dc.date.accessioned	2024-07-23T11:11:23Z
dc.date.available	2024-07-23T11:11:23Z
dc.date.issued	2023-07
dc.identifier.citation	Diagnostics. 2023 July; 13(13): 1-16.	en_US
dc.identifier.issn	2075-4418
dc.identifier.uri	http://dspace.sdmmedicalcollege.org:8080/xmlui/handle/123456789/2250
dc.language.iso	en	en_US
dc.publisher	MDPI AG	en_US
dc.subject	UNet	en_US
dc.subject	VGG 16	en_US
dc.subject	DenseNet	en_US
dc.title	Performance analysis of segmentation and classification of CT-scanned ovarian tumours using U-Net and deep convolutional neural networks	en_US
dc.type	Article	en_US