Cell segmentation in phase contrast microscopy images via semi-supervised classification over optics-related features

Medical Image Analysis

Volumn 17, Issue 7, 2013, Pages 746-765

  Su, Hang ^a,b   Yin, Zhaozheng ^c   Huh, Seungil ^b   Kanade, Takeo ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c Architectural and Environmental Engineering   (United States)

Author keywords

Cell segmentation; Phase contrast microscopy image; Phase retardation feature; Semi supervised classification; Sparse representation

Indexed keywords

CELL SEGMENTATION; PHASE RETARDATION; PHASE-CONTRAST MICROSCOPY IMAGES; SEMI-SUPERVISED CLASSIFICATION; SPARSE REPRESENTATION;

COMPUTER AIDED ANALYSIS; IMAGE RECONSTRUCTION; PIXELS;

SUPERVISED LEARNING;

ALGORITHM; ARTICLE; CELL FUNCTION; CELL MEMBRANE; CELL SEGMENTATION; CELLULAR PARAMETERS; COMPUTER AIDED DESIGN; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; MITOSIS; PHASE CONTRAST MICROSCOPY; PRIORITY JOURNAL;

CELL SEGMENTATION; PHASE CONTRAST MICROSCOPY IMAGE; PHASE RETARDATION FEATURE; SEMI-SUPERVISED CLASSIFICATION; SPARSE REPRESENTATION;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; CELL TRACKING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY, PHASE-CONTRAST; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84879890356     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2013.04.004     Document Type: Article

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