A meta registration framework for lesion matching

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

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 582-589

  Seshamani, Sharmishtaa ^a   Rajan, Purnima ^a   Kumar, Rajesh ^a   Girgis, Hani ^a   Dassopoulos, Themos ^c   Mullin, Gerard ^b   Hager, Gregory ^a  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS HOSPITAL   (United States)

^c WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMICAL VARIATIONS; APRIORI; CAPSULE ENDOSCOPY; CROHN'S DISEASE; DECISION FUNCTIONS; FEATURE-BASED METHOD; IMAGING CONDITIONS; IMAGING SENSORS; MINIMALLY INVASIVE IMAGING; MULTIPLE VIEWS; REGISTRATION METHODS;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CROHN DISEASE; GASTROINTESTINAL ENDOSCOPY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; CROHN DISEASE; ENDOSCOPY, GASTROINTESTINAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79961178506     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_72     Document Type: Conference Paper

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