Shape and Texture Based Novel Features for Automated Juxtapleural Nodule Detection in Lung CTs

Journal of Medical Systems

Volumn 39, Issue 5, 2015, Pages 1-13

  Taşcı, Erdal ^a   Uğur, Aybars ^a  

^a EGE UNIVERSITY   (Turkey)

Author keywords

Feature extraction; Image processing; Lung cancer; Machine learning; Pattern recognition

Indexed keywords

ARTICLE; AUTOMATION; CANCER PATIENT; COMPUTER ASSISTED TOMOGRAPHY; EARLY DIAGNOSIS; HUMAN; IMAGE PROCESSING; LUNG CANCER; LUNG NODULE; PLEURA; SURVIVAL RATE; ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CROSS-SECTIONAL STUDY; FEMALE; IMAGE QUALITY; LUNG NEOPLASMS; MALE; PATHOLOGY; PROCEDURES; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84924051480     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-015-0231-5     Document Type: Article

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