Automatic segmentation of lung nodules with growing neural gas and support vector machine

Computers in Biology and Medicine

Volumn 42, Issue 11, 2012, Pages 1110-1121

  Magalhães Barros Netto, Stelmo ^a   Corrĉa Silva, Aristófanes ^a   Acatauassú Nunes, Rodolfo ^b   Gattass, Marcelo ^c  

^a FEDERAL UNIVERSITY OF MARANHÃO   (Brazil)

^b STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^c PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Computer aided detection (CAD); Growing neural gas; Image processing; Lung nodules; Medical image

Indexed keywords

AUTOMATIC DETECTION; AUTOMATIC SEGMENTATIONS; CAD SYSTEM; COMPUTER-AIDED DETECTION; COMPUTERIZED TOMOGRAPHY IMAGES; FALSE POSITIVE; GROWING NEURAL GAS; LUNG CANCER; LUNG NODULE; MEDICAL IMAGES; PULMONARY PARENCHYMA; RESEARCH CENTER; TEXTURE MEASUREMENT; TOMOGRAPHIC IMAGES; TRAINING AND TESTING; TREATMENT OUTCOMES; VOLUME OF INTEREST;

BLOOD VESSELS; DISEASES; IMAGE PROCESSING; RESPIRATORY SYSTEM; SUPPORT VECTOR MACHINES; TOMOGRAPHY;

BIOLOGICAL ORGANS;

ACCURACY; ALGORITHM; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; FALSE POSITIVE RESULT; GROWING NEURAL GAS; HUMAN; IMAGE RECONSTRUCTION; LUNG NODULE; MEASUREMENT; METHODOLOGY; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; LUNG; LUNG NEOPLASMS; RADIOGRAPHY, THORACIC; SUPPORT VECTOR MACHINES; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84867746317     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2012.09.003     Document Type: Article

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