Unsupervised mitochondria segmentation using recursive spectral clustering and adaptive similarity models

Journal of Structural Biology

Volumn 184, Issue 3, 2013, Pages 401-408

  Dietlmeier, Julia ^a   Ghita, Ovidiu ^a   Duessmann, Heiko ^b   Prehn, Jochen H M ^b   Whelan, Paul F ^a  

^a DUBLIN CITY UNIVERSITY   (Ireland)

^b ROYAL COLLEGE OF SURGEONS IN IRELAND   (Ireland)

Author keywords

Learning models; Molecular imaging; Perceptual organization; Spectral clustering

Indexed keywords

ARTICLE; CELL ORGANELLE; COMPUTER PROGRAM; CONCEPTUAL FRAMEWORK; IMAGE ANALYSIS; LEARNING; MITOCHONDRION; MOLECULAR IMAGING; MOLECULAR MODEL; PRIORITY JOURNAL; TISSUES;

LEARNING MODELS; MOLECULAR IMAGING; PERCEPTUAL ORGANIZATION; SPECTRAL CLUSTERING;

ALGORITHMS; ANIMALS; CLUSTER ANALYSIS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY, ELECTRON; MITOCHONDRIA; MOLECULAR IMAGING; PATTERN RECOGNITION, AUTOMATED; SCIURIDAE;

EID: 84888021158     PISSN: 10478477     EISSN: 10958657     Source Type: Journal    
DOI: 10.1016/j.jsb.2013.10.013     Document Type: Article

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