Automatic branching detection in IVUS sequences

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

Volumn 6669 LNCS, Issue , 2011, Pages 126-133

  Alberti, Marina ^a,b   Gatta, Carlo ^a,b   Balocco, Simone ^a,b   Ciompi, Francesco ^a,b   Pujol, Oriol ^a,b   Silva, Joana ^c   Carrillo, Xavier ^d   Radeva, Petia ^a,b  

^a UNIVERSITY OF BARCELONA   (Spain)

^b Barcelona Perception Computing Lab   (Spain)

^c CENTRO HOSPITALAR E UNIVERSITÁRIO DE COIMBRA   (Portugal)

^d HOSPITAL UNIVERSITARI GERMANS TRIAS I PUJOL   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST ALGORITHM; ARTERIAL WALL; CROSS VALIDATION; RANDOM FORESTS; TEXTURAL FEATURE; VASCULAR PATHOLOGY; AUTOMATIC APPROACHES; TWO-STATE;

BIFURCATION (MATHEMATICS); DECISION TREES; DISEASES; IMAGE ANALYSIS; PATTERN RECOGNITION; ADAPTIVE BOOSTING;

ADAPTIVE BOOSTING; PATTERN RECOGNITION;

EID: 79959985346     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21257-4_16     Document Type: Conference Paper

References (9)

1. Zarins, C.K., Giddens, D.P., Bharadvaj, B.K., Sottiurai, V.S., Mabon, R.F., Glagov, S.: Carotid bifurcation atherosclerosis. quantitative correlation of plaque localization with flow velocity profiles and wall shear stress. Circulation Research 53, 502-514 (1983)
2. Gatta, C., Balocco, S., Ciompi, F., Hemetsberger, R., Leor, O.R., Radeva, P.: Real-time gating of IVUS sequences based on motion blur analysis: Method and quantitative validation. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6362, pp. 59-67. Springer, Heidelberg (2010)
3. Gatta, C., Pujol, O., Leor, O.R., Ferre, J.M., Radeva, P.: Fast rigid registration of vascular structures in ivus sequences. IEEE Transactions on Information Technology in Biomedicine 13(6), 1006-1011 (2009)
4. Bovik, A., Clark, M., Geisler, W.: Multichannel texture analysis using localized spatial filters. IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 55-73 (1990)
5. Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(7), 971-987 (2002)
6. Li, W., van der Steen, A., Lancé, C., Honkoop, J., Gussenhoven, E.J., Bom, N.: Temporal correlation of blood scattering signals in vivo from radio frequency intravascular ultrasound. Ultrasound in Medicine and Biology 22(5), 583-590 (1996)
7. Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55(1), 119-139 (1997)
8. Statistics, L.B., Breiman, L.: Random forests. Machine Learning, 5-32 (2001)
9. Demsar, J.: Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research 7, 1-30 (2006)