Automated separation of merged Langerhans islets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F16%3A00060176" target="_blank" >RIV/00023001:_____/16:00060176 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/16:00303666
Result on the web
<a href="http://dx.doi.org/10.1117/12.2216798" target="_blank" >http://dx.doi.org/10.1117/12.2216798</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2216798" target="_blank" >10.1117/12.2216798</a>
Alternative languages
Result language
angličtina
Original language name
Automated separation of merged Langerhans islets
Original language description
This paper deals with separation of merged Langerhans islets in segmentations in order to evaluate correct histogram of islet diameters. A distribution of islet diameters is useful for determining the feasibility of islet transplantation in diabetes. First, the merged islets at training segmentations are manually separated by medical experts. Based on the single islets, the merged islets are identified and the SVM classifier is trained on both classes (merged/single islets). The testing segmentations were over-segmented using watershed transform and the most probable back merging of islets were found using trained SVM classifier. Finally, the optimized segmentation is compared with ground truth segmentation (correctly separated islets).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])
Result continuities
Project
<a href="/en/project/GA14-10440S" target="_blank" >GA14-10440S: Automatic analysis of microscopy images of Langerhans islets</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Medical imaging 2016: image processing
ISBN
978-1-5106-0019-5
ISSN
0277-786X
e-ISSN
—
Number of pages
7
Pages from-to
"art. no. 978438"
Publisher name
SPIE
Place of publication
Bellingham
Event location
San Diego, CA, USA
Event date
Mar 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000382313300113