Segmentation of renal structures based on contrast computed tomography scans using a convolutional neural network

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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Bibliographic Details
Main Authors: I. М. Chernenkiy, M. M. Chernenkiy, D. N. Fiev, E. S. Sirota
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
Series:Сеченовский вестник
Subjects:
neural network
kidney neoplasms
ct scan
3d modeling
artificial intelligence
Online Access:https://www.sechenovmedj.com/jour/article/view/899
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