A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images

Journal of Digital Imaging

Volumn 29, Issue 4, 2016, Pages 466-475

  Dhara, Ashis Kumar ^a   Mukhopadhyay, Sudipta ^a   Dutta, Anirvan ^b   Garg, Mandeep ^c   Khandelwal, Niranjan ^c  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b BIRLA INSTITUTE OF TECHNOLOGY   (India)

^c POSTGRADUATE INSTITUTE OF MEDICAL EDUCATION AND RESEARCH   (India)

Author keywords

Classification of benign and malignant nodules; CT images; Feature extraction; Features selection; Lung cancer; Pulmonary nodules; Segmentation of nodules

Indexed keywords

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE RETRIEVAL; IMAGE SEGMENTATION;

AUTOMATED TECHNIQUES; CLASSIFICATION SCHEME; CT IMAGE; FEATURES SELECTION; LUNG CANCER; MANUAL SEGMENTATION; PULMONARY NODULES; RECEIVER OPERATING CHARACTERISTIC CURVES;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; HUMAN; LUNG NODULE; LUNG TUMOR; X-RAY COMPUTED TOMOGRAPHY;

ALGORITHMS; HUMANS; LUNG NEOPLASMS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84953302802     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-015-9857-6     Document Type: Article

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