| Title: |
Designing a High-Performance Deep Learning Theoretical Model for Biomedical Image Segmentation by Using Key Elements of the Latest U-Net-Based Architectures |
| Authors: |
Luca, Andreea Roxana; Ursuleanu, Tudor Florin; Gheorghe, Liliana; Grigorovici, Roxana; Iancu, Stefan; Hlusneac, Maria; Preda, Cristina; Grigorovici, Alexandru |
| Source: |
Journal of Computer and Communications ; volume 09, issue 07, page 8-20 ; ISSN 2327-5219 2327-5227 |
| Publisher Information: |
Scientific Research Publishing, Inc. |
| Publication Year: |
2021 |
| Document Type: |
article in journal/newspaper |
| Language: |
unknown |
| DOI: |
10.4236/jcc.2021.97002 |
| Availability: |
https://doi.org/10.4236/jcc.2021.97002; https://www.scirp.org/journal/paperinformation?paperid=110763; https://www.scirp.org/xml/110763.xml |
| Rights: |
http://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.EC3087D6 |
| Database: |
BASE |