Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning

Medical Image Analysis

Volumn 18, Issue 5, 2014, Pages 772-780

  Ozolek, John A ^a   Tosun, Akif Burak ^b   Wang, Wei ^b   Chen, Cheng ^b   Kolouri, Soheil ^b   Basu, Saurav ^b   Huang, Hu ^b   Rohde, Gustavo K ^b,c  

^a CHILDREN S HOSPITAL OF PITTSBURGH   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c Department of Electrical and Computer Engineering Carnegie Mellon University ^*  (United States)

Author keywords

Image analysis; Nuclear morphology; Optimal transport; Thyroid follicular lesions

Indexed keywords

CYTOLOGY; DIAGNOSIS; IMAGE ANALYSIS; MORPHOLOGY;

CLASSIFICATION METHODS; CLASSIFICATION RESULTS; CONSIDERABLE RESOURCES; EXPERIMENTAL COMPARISON; MORPHOLOGICAL FEATURES; NUCLEAR MORPHOLOGY; OPTIMAL TRANSPORT; THYROID FOLLICULAR LESIONS;

NUMERICAL METHODS;

ARTICLE; CONTROLLED STUDY; FOLLICULAR VARIANT OF PAPILLARY CARCINOMA; GOLD STANDARD; HEALTH CARE COST; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMMUNOHISTOCHEMISTRY; K NEAREST NEIGHBOR; LESIONS AND DEFECTS; MACHINE LEARNING; MAJOR CLINICAL STUDY; NODULAR GOITER; PRIORITY JOURNAL; THYROID DISEASE; THYROID FOLLICULAR ADENOMA; THYROID FOLLICULAR CARCINOMA; THYROID FUNCTION; WIDELY INVASIVE FOLLICULAR CARCINOMA; ADULT; AGED; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CELL NUCLEUS; COMPUTER ASSISTED DIAGNOSIS; DIFFERENTIAL DIAGNOSIS; FEMALE; IMAGE ENHANCEMENT; MALE; MICROSCOPY; MIDDLE AGED; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

ADULT; AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CELL NUCLEUS; DIAGNOSIS, DIFFERENTIAL; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MICROSCOPY; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; THYROID DISEASES; YOUNG ADULT;

EID: 84900420910     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2014.04.004     Document Type: Article

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