| dc.creator |
Serel, Ahmet |
|
| dc.creator |
ÖZTÜRK, Sefa Alperen |
|
| dc.creator |
Soyupek, Sedat |
|
| dc.creator |
Serel, Huseyin Bulut |
|
| dc.date |
2022-07-01T00:00:00Z |
|
| dc.date.accessioned |
2023-01-09T11:58:33Z |
|
| dc.date.available |
2023-01-09T11:58:33Z |
|
| dc.identifier |
114aa231-250e-4579-9a20-3da4779db9f1 |
|
| dc.identifier |
10.5152/tud.2022.22030 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/114aa231-250e-4579-9a20-3da4779db9f1/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/97568 |
|
| dc.description |
Objective: Using artificial intelligence and a deep learning algorithm can differentiate vesicoureteral reflux and hydronephrosis reliably. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Deep Learning in Urological Images Using Convolutional Neural Networks: An Artificial Intelligence Study |
|
| dc.type |
info:eu-repo/semantics/article |
|