메뉴 건너뛰기




Volumn 9, Issue 1, 2015, Pages 183-195

Artificial neural network based classification of lungs nodule using hybrid features from computerized tomographic images

Author keywords

Artificial neural networks (ANN); Computer Aided Diagnostic (CAD) System; Computerized tomographic images; Pulmonary nodules detection

Indexed keywords


EID: 84907246887     PISSN: 19350090     EISSN: 23250399     Source Type: Journal    
DOI: 10.12785/amis/090124     Document Type: Article
Times cited : (33)

References (26)
  • 3
    • 84867748282 scopus 로고    scopus 로고
    • Rule-based Lung region segmentation and nodule detection via Genetic Algorithm trained template matching
    • Ozekes S. Rule-based Lung region segmentation and nodule detection via Genetic Algorithm trained template matching. Istanbul Comm Uni J Sci 2007; 6: 17-30
    • (2007) Istanbul Comm Uni J Sci , vol.6 , pp. 17-30
    • Ozekes, S.1
  • 4
    • 39449121298 scopus 로고    scopus 로고
    • Nodule detection in a lung region that's segmented with using genetic cellular neural networks and 3D template matching with fuzzy rule based thresholding
    • Ozekes S, Osman O, Ucan ON. Nodule detection in a lung region that's segmented with using genetic cellular neural networks and 3D template matching with fuzzy rule based thresholding. Korean J Radiol 2008; 9: 1-9
    • (2008) Korean J Radiol , vol.9 , pp. 1-9
    • Ozekes, S.1    Osman, O.2    Ucan, O.N.3
  • 5
    • 67650862815 scopus 로고    scopus 로고
    • Shape based computer-aided detection of lung nodules in thoracic CT images
    • Ye X, Lin X, Dehmeshki J, Slabaugh G, Beddoe G. Shape based computer-aided detection of lung nodules in thoracic CT images. IEEE T Bio-Med Eng 2009; 56: 1810-1820
    • (2009) IEEE T Bio-Med Eng , vol.56 , pp. 1810-1820
    • Ye, X.1    Lin, X.2    Dehmeshki, J.3    Slabaugh, G.4    Beddoe, G.5
  • 7
    • 77950460089 scopus 로고    scopus 로고
    • Methodology for automatic detection of lung nodules in computerized tomography images
    • Sousa J R F S, Silva A C, Paiva A C, Nunes R A. Methodology for automatic detection of lung nodules in computerized tomography images. Comput Meth Prog Bio 2010; 98: 1-14
    • (2010) Comput Meth Prog Bio , vol.98 , pp. 1-14
    • Sousa, J.R.F.S.1    Silva, A.C.2    Paiva, A.C.3    Nunes, R.A.4
  • 8
    • 77955659952 scopus 로고    scopus 로고
    • Random forest based lung nodule classification aided by clustering
    • Lee S L A, Kouzani A Z, Hu E J. Random forest based lung nodule classification aided by clustering. Comput Med Imag Grap 2010; 34: 535-542
    • (2010) Comput Med Imag Grap , vol.34 , pp. 535-542
    • Lee, S.L.A.1    Kouzani, A.Z.2    Hu, E.J.3
  • 10
    • 80053608049 scopus 로고    scopus 로고
    • A novel computer-aided lung nodule detection system for CT images
    • Tan M, Deklerck R, Jansen B, Bister M, Cornelis J. A novel computer-aided lung nodule detection system for CT images. Med Phys 2011; 38: 5630-5645
    • (2011) Med Phys , vol.38 , pp. 5630-5645
    • Tan, M.1    Deklerck, R.2    Jansen, B.3    Bister, M.4    Cornelis, J.5
  • 11
    • 84863006941 scopus 로고    scopus 로고
    • Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images
    • Choi W J, Choi T S. Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images. Inform Sciences 2012; 212: 57-78
    • (2012) Inform Sciences , vol.212 , pp. 57-78
    • Choi, W.J.1    Choi, T.S.2
  • 12
    • 84874760366 scopus 로고    scopus 로고
    • Automated Pulmonary Nodule Detection System in Computed Tomography Images: A Hierarchical Block Classification Approach
    • Choi W J, Choi T S. Automated Pulmonary Nodule Detection System in Computed Tomography Images: A Hierarchical Block Classification Approach. Entropy 2013; 15: 507-523
    • (2013) Entropy , vol.15 , pp. 507-523
    • Choi, W.J.1    Choi, T.S.2
  • 15
    • 0035354205 scopus 로고    scopus 로고
    • Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images
    • Hu S, Hoffman EA, Reinhardt JM. Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images. IEEE T Med Imaging 2001; 20: 490-498
    • (2001) IEEE T Med Imaging , vol.20 , pp. 490-498
    • Hu, S.1    Hoffman, E.A.2    Reinhardt, J.M.3
  • 17
    • 77951647196 scopus 로고    scopus 로고
    • A new computationally efficient CAD system for pulmonary nodule detection in CT imagery
    • Messay T, Hardie RC, Rogers SK. A new computationally efficient CAD system for pulmonary nodule detection in CT imagery. Med Image Anal 2010; 14: 390-406
    • (2010) Med Image Anal , vol.14 , pp. 390-406
    • Messay, T.1    Hardie, R.C.2    Rogers, S.K.3
  • 19
    • 2942577813 scopus 로고    scopus 로고
    • Surface normal overlap: a computeraided detection algorithm with application to colonic polyps and lung nodules in helical CT
    • Paik DS, Beaulieu CF, Rubin GD, Acar B, Jeffrey RB Jr, Yee J, Dey J, Napel S. Surface normal overlap: a computeraided detection algorithm with application to colonic polyps and lung nodules in helical CT. IEEE T Med Imaging 2004; 23: 661-675
    • (2004) IEEE T Med Imaging , vol.23 , pp. 661-675
    • Paik, D.S.1    Beaulieu, C.F.2    Rubin, G.D.3    Acar, B.4    Jeffrey Jr., R.B.5    Yee, J.6    Dey, J.7    Napel, S.8
  • 20
    • 79960383467 scopus 로고    scopus 로고
    • Application of freeman chain codes: An alternative recognition technique for Malaysian car plates
    • Jusoh NA, Zain JM. Application of freeman chain codes: An alternative recognition technique for Malaysian car plates. Int J Comput Sci Net Sec 2009; 9: 222-227
    • (2009) Int J Comput Sci Net Sec , vol.9 , pp. 222-227
    • Jusoh, N.A.1    Zain, J.M.2
  • 21
    • 0038710369 scopus 로고    scopus 로고
    • Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography
    • Suzuki K, Armato SG 3rd, Li F, Sone S, Doi K. Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography. Med Phys 2003; 30: 1602-1617
    • (2003) Med Phys , vol.30 , pp. 1602-1617
    • Suzuki, K.1    Armato III, S.G.2    Li, F.3    Sone, S.4    Doi, K.5
  • 23
    • 34447285504 scopus 로고    scopus 로고
    • Automated detection of lung nodules in CT images using shape-based genetic algorithm
    • Dehmeshki J, Ye X, Lin X, Valdivieso M, Amin H. Automated detection of lung nodules in CT images using shape-based genetic algorithm. Comput Med Imag Grap 2007; 31: 408-417
    • (2007) Comput Med Imag Grap , vol.31 , pp. 408-417
    • Dehmeshki, J.1    Ye, X.2    Lin, X.3    Valdivieso, M.4    Amin, H.5
  • 26
    • 84880180582 scopus 로고    scopus 로고
    • Classification of pulmonary nodules by using Hybrid features
    • Tartar A, Kilic N, Akan A. Classification of pulmonary nodules by using Hybrid features. Comput Math Meth Med 2013; 2013: Article ID 148363, 11 pages
    • (2013) Comput Math Meth Med , vol.2013 , pp. 11
    • Tartar, A.1    Kilic, N.2    Akan, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.