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| 001 | 901793 | ||
| 005 | 20211020141239.0 | ||
| 024 | 7 | _ | |a 10.2312/VCBM.20211340 |2 doi |
| 037 | _ | _ | |a FZJ-2021-03826 |
| 100 | 1 | _ | |a Ruzaeva, Karina |0 P:(DE-Juel1)180323 |b 0 |
| 111 | 2 | _ | |a Eurographics Workshop on Visual Computing for Biology and Medicine |c virtual |d 2021-09-28 - 2021-10-01 |w Germany |
| 245 | _ | _ | |a Polar Space Based Shape Averaging for Star-shaped Biological Objects |
| 260 | _ | _ | |c 2021 |b The Eurographics Association |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Proceedings |b proc |m proc |0 PUB:(DE-HGF)26 |s 1634651371_5090 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Output Types/Book |2 DataCite |
| 336 | 7 | _ | |a BOOK |2 ORCID |
| 336 | 7 | _ | |a Conference Proceedings |0 3 |2 EndNote |
| 336 | 7 | _ | |a PROCEEDINGS |2 BibTeX |
| 520 | _ | _ | |a In this paper, we propose an averaging method for expert segmentation proposals of microbial organisms, resulting in a smooth, naturally looking segmentation ground truth. The approach exploits a geometrical property of the majority of the organisms - star-shapedness - and is based on contour averaging in polar space. It is robust and computationally efficient, where robustness is due to the absence of tuneable parameters. Moreover, the algorithm preserves the uncertainty (in terms of the standard deviation) of the experts' opinion, which allows to introduce an uncertainty-aware metric for estimation of the segmentation quality. This metric emphasizes the influence of ground truth regions with low variance. We study the performance of the proposed averaging method on time-lapse microscopy data of Corynebacterium glutamicum and the uncertainty-aware metric on synthetic data. |
| 536 | _ | _ | |a 2171 - Biological and environmental resources for sustainable use (POF4-217) |0 G:(DE-HGF)POF4-2171 |c POF4-217 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |a Applied computing |2 Other |
| 650 | _ | 7 | |a Imaging |2 Other |
| 650 | _ | 7 | |a Computing methodologies |2 Other |
| 650 | _ | 7 | |a Image processing |2 Other |
| 700 | 1 | _ | |a Nöh, Katharina |0 P:(DE-Juel1)129051 |b 1 |e Corresponding author |
| 700 | 1 | _ | |a Berkels, Benjamin |0 P:(DE-HGF)0 |b 2 |
| 773 | _ | _ | |a 10.2312/VCBM.20211340 |
| 909 | C | O | |o oai:juser.fz-juelich.de:901793 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)180323 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)129051 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Erde und Umwelt |l Erde im Wandel – Unsere Zukunft nachhaltig gestalten |1 G:(DE-HGF)POF4-210 |0 G:(DE-HGF)POF4-217 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-200 |4 G:(DE-HGF)POF |v Für eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten |9 G:(DE-HGF)POF4-2171 |x 0 |
| 914 | 1 | _ | |y 2021 |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBG-1-20101118 |k IBG-1 |l Biotechnologie |x 0 |
| 980 | _ | _ | |a proc |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IBG-1-20101118 |
| 980 | _ | _ | |a UNRESTRICTED |
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