Cell segmentation using front vector flow guided active contours

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 609-616

  Li, Fuhai ^a   Zhou, Xiaobo ^a   Zhao, Hong ^a   Wong, Stephen T C ^a  

^a HOUSTON METHODIST HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE CONTOURS; BREAST CANCER CELLS; CANCER CELLS; CELL BEHAVIORS; CELL BOUNDARY; CELL MIGRATION; CELL SEGMENTATION; CELLULAR IMAGE; EXPERIMENTAL VALIDATIONS; HIGH-LEVEL FEATURES; IN-PHASE; LOW-LEVEL FEATURES; PHASE-CONTRAST IMAGE; PHASE-CONTRAST MICROSCOPY; QUANTITATIVE ANALYSIS; SEGMENTATION METHODS; VECTOR FLOW;

CYTOLOGY; IMAGE SEGMENTATION; MEDICAL COMPUTING;

CELLS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PATHOLOGY; PHASE CONTRAST MICROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TUMOR CELL LINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; CELL LINE, TUMOR; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY, PHASE-CONTRAST; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79959551031     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_74     Document Type: Conference Paper

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