Yayın: HEp-2 cell classification using a deep neural network trained for natural image classification
| dc.contributor.author | Benlıgıray, Burak | |
| dc.contributor.author | Akakın, Hatice Çınar | |
| dc.contributor.orcid | 0000-0002-1586-9302 | |
| dc.date.accessioned | 2025-11-13T22:20:43Z | |
| dc.date.issued | 2016-05-01 | |
| dc.identifier.doi | https://doi.org/10.1109/siu.2016.7496001 | |
| dc.identifier.openalex | W2428997408 | |
| dc.identifier.uri | https://hdl.handle.net/11421/13874 | |
| dc.identifier.uri | https://doi.org/10.1109/siu.2016.7496001 | |
| dc.language.iso | en | |
| dc.rights | restrictedAccess | |
| dc.subject | Artificial intelligence | |
| dc.subject | Overfitting | |
| dc.subject | Convolutional neural network | |
| dc.subject | Deep learning | |
| dc.subject | Computer science | |
| dc.subject | Contextual image classification | |
| dc.subject | Artificial neural network | |
| dc.subject | Pattern recognition (psychology) | |
| dc.subject | Deep neural networks | |
| dc.subject | Image (mathematics) | |
| dc.subject | Time delay neural network | |
| dc.title | HEp-2 cell classification using a deep neural network trained for natural image classification | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5054329994 | |
| local.authorid.openalex | A5038676174 |
