Pulmonary nodules: A quantitative method of diagnosis by evaluating nodule perimeter difference to approximate oval using three-dimensional CT images

Clinical Imaging

Volumn 35, Issue 2, 2011, Pages 123-126

  Kamiya, Hisashi ^a   Murayama, Sadayuki ^a   Kakinohana, Yasumasa ^a   Miyara, Tetsuhiro ^a  

^a UNIVERSITY OF THE RYUKYUS   (Japan)

Author keywords

Computer aided diagnosis; CT; Lung cancer; Pulmonary nodule; Three dimensional image

Indexed keywords

CT; CT IMAGE; LUNG CANCER; PULMONARY NODULES; QUANTITATIVE METHOD; STATISTICALLY SIGNIFICANT DIFFERENCE; THREE DIMENSIONAL IMAGES;

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DISEASES; IMAGING SYSTEMS; POSITRON EMISSION TOMOGRAPHY; THREE DIMENSIONAL;

COMPUTER AIDED DIAGNOSIS;

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; DIFFERENTIAL DIAGNOSIS; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; LUNG CANCER; LUNG NODULE; NODULE PERIMETER; PERIMETER; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; THREE DIMENSIONAL IMAGING;

ALGORITHMS; HUMANS; IMAGING, THREE-DIMENSIONAL; LUNG NEOPLASMS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 79952179442     PISSN: 08997071     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clinimag.2010.03.007     Document Type: Article

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