Cell Segmentation in Quantitative Phase Images with Improved Iterative Thresholding Method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU137881" target="_blank" >RIV/00216305:26220/20:PU137881 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-64610-3_27" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-64610-3_27</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-64610-3_27" target="_blank" >10.1007/978-3-030-64610-3_27</a>
Alternative languages
Result language
angličtina
Original language name
Cell Segmentation in Quantitative Phase Images with Improved Iterative Thresholding Method
Original language description
Quantitative Phase Imaging (QPI) is a label-free microscopic technique, which provides images with high contrast, moreover, it provides quantitative cell mass measurements for each pixel. Segmentation of particular cells is an important step in the analysis of QPI image data. This paper presents a method for automatic cell segmentation in QPI images. The proposed method improves iterative thresholding, which is a very promising method, however, it is not able to segment densely clustered cells. Our improved iterative thresholding includes two additional steps -- Laplacian of Gaussian image enhancement and distance transform-based splitting. The method was compared with original iterative thresholding and another method on two cell lines, where the proposed method successfully deals with a densely clustered type of cells and achieves significantly better results on both datasets
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
20601 - Medical engineering
Result continuities
Project
<a href="/en/project/GA18-24089S" target="_blank" >GA18-24089S: Quantitative phase microscopy for 3D qualitative characterization of cancer cells</a><br>
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
EMBEC 2020, IFMBE Proceedings vol. 80
ISBN
978-3-030-64609-7
ISSN
1680-0737
e-ISSN
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Number of pages
7
Pages from-to
233-239
Publisher name
Springer Nature Switzerland AG 2021
Place of publication
Switzerland
Event location
Portorož
Event date
Nov 29, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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