General Purpose Segmentation for Microorganisms in Microscopy Images

Sebastian H. Nesgaard Jensen, Thomas B. Moeslund, Christian Rankl

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Resumé

In this paper, we propose an approach for achieving generalized segmentation of microorganisms in mi- croscopy images. It employs a pixel-wise classification strategy based on local features. Multilayer percep- trons are utilized for classification of the local features and is trained for each specific segmentation problem using supervised learning. This approach was tested on five different segmentation problems in bright field, differential interference contrast, fluorescence and laser confocal scanning microscopy. In all instance good results were achieved with the segmentation quality scoring a Dice coefficient of 0.831 or higher.
OriginalsprogEngelsk
Titel9th International Conference on Computer Vision Theory and Applications
Antal sider6
ForlagInstitute for Systems and Technologies of Information, Control and Communication
Publikationsdato2014
StatusUdgivet - 2014
BegivenhedInternational Conference on Computer Vision Theory and Applications - Lisbon, Danmark
Varighed: 5 jan. 20148 jan. 2014

Konference

KonferenceInternational Conference on Computer Vision Theory and Applications
LandDanmark
ByLisbon
Periode05/01/201408/01/2014

Fingerprint

Microorganisms
Microscopic examination
Supervised learning
Multilayer neural networks
Pixels
Fluorescence
Scanning
Lasers

Citer dette

Jensen, S. H. N., Moeslund, T. B., & Rankl, C. (2014). General Purpose Segmentation for Microorganisms in Microscopy Images. I 9th International Conference on Computer Vision Theory and Applications Institute for Systems and Technologies of Information, Control and Communication.
Jensen, Sebastian H. Nesgaard ; Moeslund, Thomas B. ; Rankl, Christian. / General Purpose Segmentation for Microorganisms in Microscopy Images. 9th International Conference on Computer Vision Theory and Applications . Institute for Systems and Technologies of Information, Control and Communication, 2014.
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Jensen, SHN, Moeslund, TB & Rankl, C 2014, General Purpose Segmentation for Microorganisms in Microscopy Images. i 9th International Conference on Computer Vision Theory and Applications . Institute for Systems and Technologies of Information, Control and Communication, International Conference on Computer Vision Theory and Applications , Lisbon, Danmark, 05/01/2014.

General Purpose Segmentation for Microorganisms in Microscopy Images. / Jensen, Sebastian H. Nesgaard; Moeslund, Thomas B.; Rankl, Christian.

9th International Conference on Computer Vision Theory and Applications . Institute for Systems and Technologies of Information, Control and Communication, 2014.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AU - Rankl, Christian

PY - 2014

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AB - In this paper, we propose an approach for achieving generalized segmentation of microorganisms in mi- croscopy images. It employs a pixel-wise classification strategy based on local features. Multilayer percep- trons are utilized for classification of the local features and is trained for each specific segmentation problem using supervised learning. This approach was tested on five different segmentation problems in bright field, differential interference contrast, fluorescence and laser confocal scanning microscopy. In all instance good results were achieved with the segmentation quality scoring a Dice coefficient of 0.831 or higher.

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Jensen SHN, Moeslund TB, Rankl C. General Purpose Segmentation for Microorganisms in Microscopy Images. I 9th International Conference on Computer Vision Theory and Applications . Institute for Systems and Technologies of Information, Control and Communication. 2014