dc.contributor.author | Kodipalli, Ashwini | |
dc.contributor.author | Fernandes, Steven L. | |
dc.contributor.author | Dasar, Santosh K. | |
dc.date.accessioned | 2025-01-24T10:10:20Z | |
dc.date.available | 2025-01-24T10:10:20Z | |
dc.date.issued | 2024-03 | |
dc.identifier.citation | Diagnostics. 2024 March; 14(5): 543-561. | en_US |
dc.identifier.issn | 2075-4418 | |
dc.identifier.uri | http://dspace.sdmucmsh.edu.in:8080/xmlui/handle/123456789/2394 | |
dc.language.iso | en | en_US |
dc.publisher | MDPI AG | en_US |
dc.subject | U-Net | en_US |
dc.subject | Ovarian cancer | en_US |
dc.subject | Computer-aided diagnosis | en_US |
dc.title | An empirical evaluation of a novel ensemble deep neural network model and explainable AI for accurate segmentation and classification of ovarian tumors using CT images | en_US |
dc.type | Article | en_US |