Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process

Medical Image Analysis

Volumn 32, Issue , 2016, Pages 281-294

  Liu, Ding Yun ^a   Gan, Tao ^b   Rao, Ni Ni ^a   Xing, Yao Wen ^a   Zheng, Jie ^a   Li, Sang ^a   Luo, Cheng Si ^a   Zhou, Zhong Jun ^a   Wan, Yong Li ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SICHUAN UNIVERSITY   (China)

Author keywords

Gastrointestinal endoscopic image; Joint diagonalisation; Lesion identification; Principal component analysis

Indexed keywords

APPROXIMATION ALGORITHMS; BIOMEDICAL SIGNAL PROCESSING; DISEASES; ENDOSCOPY; EXTRACTION; FEATURE EXTRACTION; ITERATIVE METHODS; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

ENDOSCOPIC IMAGE; FEATURE EXTRACTION ALGORITHMS; GASTROINTESTINAL DISEASE; GASTROINTESTINAL ENDOSCOPIES; IMAGE FEATURE EXTRACTIONS; LESION IDENTIFICATIONS; LOW COMPUTATIONAL COMPLEXITY; WIRELESS CAPSULE ENDOSCOPY;

IMAGE PROCESSING;

ALGORITHM; ARTICLE; CAPSULE ENDOSCOPE; CAPSULE ENDOSCOPY; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DATA EXTRACTION; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIGESTIVE SYSTEM CANCER; EARLY CANCER; ESOPHAGUS CANCER; FLEXIBLE GASTROSCOPE; GASTROINTESTINAL DISEASE; GASTROSCOPY; HUMAN; INTERMETHOD COMPARISON; LEARNING; MACHINE LEARNING; MAJOR CLINICAL STUDY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SMALL INTESTINE HEMORRHAGE; STOMACH CANCER; VALIDATION STUDY; AREA UNDER THE CURVE; BLEEDING; DIAGNOSTIC IMAGING; DIGESTIVE SYSTEM TUMOR; GASTROINTESTINAL ENDOSCOPY; PROCEDURES; REPRODUCIBILITY; SMALL INTESTINE;

AREA UNDER CURVE; CAPSULE ENDOSCOPY; DIGESTIVE SYSTEM NEOPLASMS; ENDOSCOPY, GASTROINTESTINAL; GASTROINTESTINAL DISEASES; HEMORRHAGE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INTESTINE, SMALL; MACHINE LEARNING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84973344399     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2016.04.007     Document Type: Article

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