Learning from only positive and unlabeled data to detect lesions in vascular CT images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 9-16

  Zuluaga, Maria A ^a,b   Hush, Don ^c   Delgado Leyton, Edgar J F ^a,b   Hoyos, Marcela Hernández ^b   Orkisz, Maciej ^a  

^a UNIVERSITÉ DE LYON   (France)

^b UNIVERSIDAD DE LOS ANDES   (Colombia)

^c LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DIAGNOSIS; MEDICAL COMPUTING; MEDICAL IMAGING; SUPERVISED LEARNING;

CORONARY HEART DISEASE; LABELED TRAINING DATA; SEMI-SUPERVISED CLASSIFICATION; STATE OF THE ART; SUPERVISED METHODS; SYNTHETIC DATA; TRUE POSITIVE RATES; VASCULAR LESIONS;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BLOOD VESSEL; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; CORONARY BLOOD VESSEL; HUMAN; METHODOLOGY; NORMAL DISTRIBUTION; PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; VASCULAR DISEASE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BLOOD VESSELS; CORONARY VESSELS; HUMANS; MODELS, STATISTICAL; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SOFTWARE; TOMOGRAPHY, X-RAY COMPUTED; VASCULAR DISEASES;

EID: 82255185805     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_2     Document Type: Conference Paper

References (11)

1. Pugliese, F., Hunink, M.G.M., Gruszczynska, K., Alberghina, F., Malagó, R., van Pelt, N., Mollet, N.R., Cademartiri, F., Weustink, A.C., Meijboom, W.B., Witteman, C.L.M., De Feyter, P.J., Krestin, G.P.: Learning curve for coronary CT angiography: what constitutes sufficient training? Radiology 251, 359-368 (2009)
2. Saur, S.C., Alkadhi, H., Desbiolles, L., Székely, G., Cattin, P.C.: Automatic detection of calcified coronary plaques in computed tomography data sets. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 170-177. Springer, Heidelberg (2008)
3. Makrogiannis, S., Bhotika, R., Miller, J.V., Skinner Jr., J., Vass, M.: Nonparametric intensity priors for level set segmentation of low contrast structures. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009, Part I. LNCS, vol. 5761, pp. 239-246. Springer, Heidelberg (2009)
4. Tessmann, M., Vega-Higuera, F., Fritz, D., Scheuering, M., Greiner, G.: Multi-scale feature extraction for learning-based classification of coronary artery stenosis. In: Proc. SPIE Med. Imaging, vol. 7260 (2009), doi:10.1117/12.811639
5. Zuluaga, M.A., Magnin, I.E., Hernández Hoyos, M., Delgado Leyton, E.J.F., Lozano, F., Orkisz, M.: Automatic detection of abnormal vascular cross-sections based on Density Level Detection and Support Vector Machines. Int. J. Computer Assisted Radiol. Surg. 6, 163-174 (2011)
6. Porter, R., Ruggiero, C., Hush, D.: Density-based similarity measures for content based search. In: 43rd Asilomar Conf. Signals Systems Computers, pp. 390-394 (2009)
7. Steinwart, I., Hush, D., Scovel, C.: A classification framework for anomaly detection. J. Mach. Learning Research 6, 211-232 (2005)
8. Zuluaga, M.A., Delgado Leyton, E.J.F., Hernández Hoyos, M., Orkisz, M.: Feature selection for SVM-based vascular anomaly detection. In: Menze, B., Langs, G., Tu, Z., Criminisi, A. (eds.) Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging. LNCS, vol. 6533, pp. 141-152. Springer, Heidelberg (2010)
9. Lesage, D., Angelini, E.D., Bloch, I., Funka-Lea, G.: A review of 3D vessel lumen segmentation techniques: models, features and extraction schemes. MedIA 13(6), 819-845 (2009)
10. Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines (2004), http://www.csie.ntu.edu.tw/~cjlin/libsvm/
11. Schaap, M., Metz, C., van Walsum, T., van der Giessen, A.G., Weustink, A.C., Mollet, N.R., Bauer, C., Bogunovic, H., Castro, C., Deng, X., Dikici, E., O'Donnell, T., Frenay, M., Friman, O., Hernández Hoyos, M., Kitslaar, P.H., Krissian, K., Kühnel, C., Luengo-Oroz, M.A., Orkisz, M., Smedby, Ö., Styner, M., Szymczak, A., Tek, H., Wang, C., Warfield, S.K., Zambal, S., Zhang, Y., Krestin, G.P., Niessen, W.J.: Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. MedIA 13(5), 704-715 (2009)