Cell words: Modelling the visual appearance of cells in histopathology images

Computerized Medical Imaging and Graphics

Volumn 42, Issue , 2015, Pages 16-24

  Sirinukunwattana, Korsuk ^a,b   Khan, Adnan M ^a,b   Rajpoot, Nasir M ^a,b  

^a Qatar University   (Qatar)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Dictionary learning; Histopathology image analysis; Mitotic cell detection; Visual appearance modelling of cells

Indexed keywords

CELLS; LEARNING SYSTEMS; MEDICAL IMAGING; TEXTURES; VISUALIZATION;

BIOLOGICAL CELLS; DICTIONARY LEARNING; DISCRIMINATIVE DICTIONARIES; HISTOLOGICAL IMAGES; HISTOLOGY IMAGES; INTRA-CLASS VARIATION; MITOTIC CELLS; VISUAL APPEARANCE;

CYTOLOGY;

ALGORITHM; ARTICLE; BREAST CANCER; CLASSIFICATION; DICTIONARY LEARNING; DISCRIMINATION LEARNING; HISTOPATHOLOGY; HUMAN; HUMAN CELL; IMAGE ANALYSIS; LINEAR REGRESSION ANALYSIS; MITOSIS; MODEL; PRIORITY JOURNAL; PROCEDURES CONCERNING CELLS; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; CELL NUCLEUS; COMPUTER ASSISTED DIAGNOSIS; FEMALE; IMAGE ENHANCEMENT; MICROSCOPY; NOMENCLATURE; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BREAST NEOPLASMS; CELL NUCLEUS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY; MITOSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TERMINOLOGY AS TOPIC;

EID: 84926407599     PISSN: 08956111     EISSN: 18790771     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2014.11.008     Document Type: Article

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