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- aggregation classification "P1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 898678.bibtex.
- aggregation hasFormat 898678.csv.
- aggregation hasFormat 898678.dc.
- aggregation hasFormat 898678.didl.
- aggregation hasFormat 898678.doc.
- aggregation hasFormat 898678.json.
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- aggregation isPartOf urn:isbn:9783642137747.
- aggregation isPartOf urn:issn:0302-9743.
- aggregation language "eng".
- aggregation publisher "Springer".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Biology and Life Sciences".
- aggregation title "Segmentation of cell nuclei in Arabidopsis thaliana roots".
- aggregation abstract "The work flow of cell biologists depends more and more on the analysis of a large number of images. The manual analysis is a tedious, time consuming and error-prone task. Therefore the aid of automatic image analysis would be beneficial. This however needs segmentation techniques which can handle low contrast noisy images with bleed-through from different fluorescent dyes. In this paper we propose a technique which can cope with these problems by using intensity statistics. The proposed techniques are validated conform the requirements for the ICIAR Arabidopsis Thaliana Root Cell Segmentation Challenge, which allows straight forward comparison of different techniques for segmentation of Arabidopsis nuclei.".
- aggregation authorList BK307322.
- aggregation endPage "216".
- aggregation issue "2".
- aggregation startPage "207".
- aggregation volume "6112".
- aggregation aggregates 1138191.
- aggregation isDescribedBy 898678.
- aggregation similarTo LU-898678.