Condensed U-Net (CU-Net): An Improved U-Net Architecture for Cell Segmentation Powered by 4x4 Max-Pooling Layers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00115503" target="_blank" >RIV/00216224:14330/20:00115503 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/9098351" target="_blank" >https://ieeexplore.ieee.org/abstract/document/9098351</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISBI45749.2020.9098351" target="_blank" >10.1109/ISBI45749.2020.9098351</a>
Alternative languages
Result language
angličtina
Original language name
Condensed U-Net (CU-Net): An Improved U-Net Architecture for Cell Segmentation Powered by 4x4 Max-Pooling Layers
Original language description
Recently, the U-Net has been the dominant approach in the cell segmentation task in biomedical images due to its success in a wide range of image recognition tasks. However, recent studies did not focus enough on updating the architecture of the U-Net and designing specialized loss functions for bioimage segmentation. We show that the U-Net architecture can achieve more successful results with efficient architectural improvements. We propose a condensed encoder-decoder scheme that employs the 4x4 max-pooling operation and triple convolutional layers. The proposed network architecture is trained using a novel combined loss function specifically designed for bioimage segmentation. On the benchmark datasets from the Cell Tracking Challenge, the experimental results show that the proposed cell segmentation system outperforms the U-Net.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE 17th International Symposium on Biomedical Imaging
ISBN
9781538693308
ISSN
1945-7928
e-ISSN
1945-8452
Number of pages
5
Pages from-to
446-450
Publisher name
IEEE
Place of publication
Iowa
Event location
Iowa, USA
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000578080300083