Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
Cart
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Home
Journals
Applied Computer Systems
Volume 25 (2020): Issue 1 (May 2020)
Open Access
Applying 3D U-Net Architecture to the Task of Multi-Organ Segmentation in Computed Tomography
Pavlo Radiuk
Pavlo Radiuk
| Jun 05, 2020
Applied Computer Systems
Volume 25 (2020): Issue 1 (May 2020)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Jun 05, 2020
Page range:
43 - 50
DOI:
https://doi.org/10.2478/acss-2020-0005
Keywords
Computed tomography volumetric images
,
fully convolutional neural networks
,
medical image analysis
,
multi-organ segmentation
,
Sørensen-Dice similarity coefficient
© 2020 Pavlo Radiuk, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 Public License.
Pavlo Radiuk
Khmelnytskyi National University,
Khmelnytskyi, Ukraine