Segmentation of renal structures based on contrast computed tomography scans using a convolutional neural network
Aim. Develop a neural network to build 3D models of kidney neoplasms and adjacent structures. Materials and methods. DICOM data (Digital Imaging and Communications in Medicine standard) from 41 patients with kidney neoplasms were used. Data included all phases of contrast-enhanced multispiral comp...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)
2023-03-01
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| Series: | Сеченовский вестник |
| Subjects: | |
| Online Access: | https://www.sechenovmedj.com/jour/article/view/899 |
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