Commercially Available Computer-Aided Detection System for Pulmonary Nodules on Thin-Section Images Using 64 Detectors-Row CT. Preliminary Study of 48 Cases

Academic Radiology

Volumn 16, Issue 8, 2009, Pages 924-933

  Yanagawa, Masahiro ^a   Honda, Osamu ^a   Yoshida, Shigeyuki ^a   Ono, Yusuke ^a   Inoue, Atsuo ^a   Daimon, Tadahisa ^a   Sumikawa, Hiromitsu ^a   Mihara, Naoki ^a   Johkoh, Takeshi ^a   Tomiyama, Noriyuki ^a   Nakamura, Hironobu ^a  

^a OSAKA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

Author keywords

Computer aided detection; ground glass opacity; jackknife alternative free response receiver operating characteristic; multidetector row CT

Indexed keywords

ADULT; AGED; ARTICLE; CLINICAL ARTICLE; COMPUTER ASSISTED RADIOGRAPHY; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; FALSE POSITIVE RESULT; FEMALE; HUMAN; IMAGING SYSTEM; LUNG NODULE; MALE; PRIORITY JOURNAL; RADIOLOGIST; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY ANALYSIS; THORAX RADIOGRAPHY; VISION;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FEMALE; HUMANS; INDUSTRY; LUNG NEOPLASMS; MALE; MIDDLE AGED; MULTIPLE PULMONARY NODULES; PATTERN RECOGNITION, AUTOMATED; PILOT PROJECTS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 67649795042     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2009.01.030     Document Type: Article

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