Adaptable volumetric liver segmentation model for CT images using region-based features and convolutional neural network
Czipczer, Vanda and Manno-Kovács, Andrea (2022) Adaptable volumetric liver segmentation model for CT images using region-based features and convolutional neural network. NEUROCOMPUTING, 505. pp. 388-401. ISSN 0925-2312 10.1016/j.neucom.2022.07.024
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Official URL: https://doi.org/10.1016%2Fj.neucom.2022.07.024
| Item Type: | Article |
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| Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| Divisions: | Distributed Events Analysis Research Laboratory |
| SWORD Depositor: | MTMT Injector |
| Depositing User: | MTMT Injector |
| Date Deposited: | 11 Oct 2022 06:01 |
| Last Modified: | 11 Sep 2023 15:06 |
| URI: | https://eprints.sztaki.hu/id/eprint/10385 |
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