Neural network-based computer-aided diagnosis in distinguishing malignant from benign solitary pulmonary nodules by computed tomography

Chinese Medical Journal

Volumn 120, Issue 14, 2007, Pages 1211-1215

  Chen, Hui ^a   Wang, Xiao Hua ^b   Ma, Da Qing ^b   Ma, Bin Rong ^a  

^a CAPITAL MEDICAL UNIVERSITY   (China)

^b CAPITAL MEDICAL UNIVERSITY   (China)

Author keywords

Computed tomography; Computer assisted; Diagnosis; Neural networks (computer); ROC curve; Solitary pulmonary nodules

Indexed keywords

ADENOSQUAMOUS CARCINOMA; ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL FEATURE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; FEMALE; HAMARTOMA; HISTOPATHOLOGY; HUMAN; IMAGE ANALYSIS; LARGE CELL CARCINOMA; LEIOMYOMA; LUNG ADENOCARCINOMA; LUNG BIOPSY; LUNG CANCER; LUNG CYST; LUNG NODULE; LUNG SMALL CELL CANCER; MAJOR CLINICAL STUDY; MALE; MEDICAL DECISION MAKING; MEDICAL RESEARCH; QUALITATIVE DIAGNOSIS; QUANTITATIVE ANALYSIS; RADIOLOGIST; RECEIVER OPERATING CHARACTERISTIC; SPIRAL COMPUTER ASSISTED TOMOGRAPHY; SQUAMOUS CELL CARCINOMA; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; TUBERCULOMA; TUMOR VOLUME;

EID: 34547810855     PISSN: 03666999     EISSN: None     Source Type: Journal    
DOI: 10.1097/00029330-200707020-00001     Document Type: Article

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