Using the K-nearest neighbor algorithm for the classification of lymph node metastasis in gastric cancer

Computational and Mathematical Methods in Medicine

Volumn 2012, Issue , 2012, Pages

  Zhang, Su ^a   Li, Chao ^a   Zhang, Shuheng ^a   Zhang, Huan ^b   Pang, Lifang ^b   Lam, Kinman ^c   Hui, Chun ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; DISEASES; LEARNING SYSTEMS; MEDICAL IMAGING; MOTION COMPENSATION; MULTIDETECTOR COMPUTED TOMOGRAPHY; NEAREST NEIGHBOR SEARCH; PATTERN RECOGNITION; SPECTROSCOPY;

DIAGNOSTIC ACCURACY; DIAGNOSTIC METHODS; K NEAREST NEIGHBOR ALGORITHM; K-NEAREST NEIGHBOR CLASSIFIER; LYMPH NODE METASTASIS; MACHINE LEARNING METHODS; OVERALL ACCURACIES; PREOPERATIVE DIAGNOSIS;

PATHOLOGY;

NONIONIC CONTRAST MEDIUM;

ARTICLE; CANCER CLASSIFICATION; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIFFERENTIAL DIAGNOSIS; GEMSTONE SPECTRAL IMAGING; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; LYMPH NODE METASTASIS; MACHINE LEARNING; MULTIDETECTOR COMPUTED TOMOGRAPHY; SENSITIVITY AND SPECIFICITY; SPIRAL COMPUTER ASSISTED TOMOGRAPHY; STOMACH CANCER; ALGORITHM; ARTIFICIAL INTELLIGENCE; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; LYMPH NODE; METHODOLOGY; PATHOLOGY; PHOTON; RADIOGRAPHY; REPRODUCIBILITY; STATISTICAL MODEL; STOMACH TUMOR; X RAY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSTIC IMAGING; HUMANS; LYMPH NODES; LYMPHATIC METASTASIS; MODELS, STATISTICAL; PHOTONS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STOMACH NEOPLASMS; TOMOGRAPHY, X-RAY COMPUTED; X-RAYS;

EID: 84870199899     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2012/876545     Document Type: Article

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