A novel polar space random field model for the detection of glandular structures

IEEE Transactions on Medical Imaging

Volumn 33, Issue 3, 2014, Pages 764-776

  Fu, Hao ^a,b   Qiu, Guoping ^a,c   Shu, Jie ^a   Ilyas, Mohammad ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^c UNIVERSITY OF NOTTINGHAM NINGBO CHINA   (China)

Author keywords

Gland; Polar space; Random field

Indexed keywords

COMPUTER APPLICATIONS; MEDICAL IMAGING;

COMPUTER VISION ALGORITHMS; GLAND; GLANDULAR STRUCTURES; MICROSCOPIC IMAGE; POLAR SPACES; RANDOM FIELD MODEL; RANDOM FIELDS; SUPPORT VECTOR REGRESSOR;

OBJECT DETECTION;

ACCURACY; ALGORITHM; ARTICLE; GLANDULAR STRUCTURE; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MICROSCOPY; MODEL; RANDOM FIELD MODEL; SPACE; SUPPORT VECTOR MACHINE; TISSUE STRUCTURE;

ALGORITHMS; COLON; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTESTINAL MUCOSA; MICROSCOPY; PATTERN RECOGNITION, AUTOMATED;

EID: 84896288043     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2296572     Document Type: Article

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