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Volumn , Issue , 2007, Pages 53-56

Segmentation of nuclei in confocal image stacks using performance based thresholding

Author keywords

Image processing; Image segmentation; Machine vision; Pattern recognition

Indexed keywords

CONFOCAL IMAGE STACKS; DROSOPHILA MELANOGASTAR; MACHINE LEARNING ALGORITHMS; NASCENT TRANSCRIPTION SITES;

EID: 36349031802     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2007.356786     Document Type: Conference Paper
Times cited : (8)

References (10)
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    • Chawla, M.K.1    Lin, G.2    Olson, K.3    Vazdarjanova, A.4    Burke, S.N.5    McNaughton, B.L.6    Worley, P.F.7    Guzowski, J.F.8    Roysam, B.9    Barnes, C.A.10
  • 3
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    • Gang Lin, Umesh Adiga andKathy Olson, John F. Guzowski, Carol A. Barnes, and Badrinath Roysam. A hybrid 3d watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks, Cytometry Part A, 56A, no. 1, pp. 23-36, 2003.
    • Gang Lin, Umesh Adiga andKathy Olson, John F. Guzowski, Carol A. Barnes, and Badrinath Roysam. "A hybrid 3d watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks," Cytometry Part A, vol. 56A, no. 1, pp. 23-36, 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.