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- aggregation classification "P1".
- aggregation creator person.
- aggregation creator person.
- aggregation date "2011".
- aggregation format "application/pdf".
- aggregation hasFormat 1048620.bibtex.
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- aggregation isPartOf urn:isbn:9780819484390.
- aggregation isPartOf urn:issn:0277-786X.
- aggregation isPartOf urn:issn:1605-7422.
- aggregation language "eng".
- aggregation publisher "SPIE, the International Society for Optical Engineering".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Medicine and Health Sciences".
- aggregation title "Computational efficient segmentation of cell nuclei in 2D and 3D fluorescent micrographs".
- aggregation abstract "This paper proposes a new segmentation technique developed for the segmentation of cell nuclei in both 2D and 3D fluorescent micrographs. The proposed method can deal with both blurred edges as with touching nuclei. Using a dual scan line algorithm its both memory as computational efficient, making it interesting for the analysis of images coming from high throughput systems or the analysis of 3D microscopic images. Experiments show good results, i.e. recall of over 0.98.".
- aggregation authorList BK182057.
- aggregation volume "7902".
- aggregation aggregates 1083580.
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- aggregation similarTo 12.872725.
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