Object classification in an ultrasound video using LP-SIFT features

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

Volumn 8848, Issue , 2014, Pages 71-81

  Maraci, Mohammad Ali ^a   Napolitano, Raffaele ^b   Papageorghiou, Aris ^b   Allison Noble, J ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIG DATA; COMPUTER VISION; COST EFFECTIVENESS; DIAGNOSIS; IMAGE CLASSIFICATION; LEARNING SYSTEMS; ULTRASONIC APPLICATIONS;

ANATOMICAL STRUCTURES; BAG-OF-VISUAL-WORDS; CLINICAL EXPERIENCE; COST-EFFECTIVE TECHNOLOGY; DIAGNOSTIC DECISIONS; OBJECT CLASSIFICATION; ULTRASOUND VIDEOS; VISION COMMUNITIES;

MEDICAL IMAGING;

EID: 84917705618     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-13972-2_7     Document Type: Conference Paper

References (11)

1. Lu, X., Georgescu, B., Zheng, Y., Otsuki, J., Comaniciu, D.: Autompr: automatic detection of standard planes in 3d echocardiography. In: 5th IEEE International Symposium on ISBI 2008, pp. 1279–1282 (2008)
2. Chykeyuk, K., Yaqub, M., Noble, J.: Class-specific regression random forest for accurate extraction of standard planes from 3d echocardiography. In: MICCAI International Workshop on Machine Learning in Medical Imaging (2013)
3. Kwitt, R., Vasconcelos, N., Razzaque, S., Aylward, S.: Localizing target structures in ultrasound video - a phantom study. Med. Image Anal. 17(7), 712–722 (2013)
4. Maraci, M.A., Napolitano, R., Papageorghiou, A., Noble, J.A.: Searching for structures of interest in an ultrasound video sequence. In: Wu, G., Zhang, D., Zhou, L. (eds.) MLMI 2014. LNCS, vol. 8679, pp. 133–140. Springer, Heidelberg (2014)
5. Sivic, J., Zisserman, A.: Video google: a text retrieval approach to object matching in videos. In: Ninth IEEE International Conference on Computer Vision, Proceedings, pp. 1470–1477. IEEE (2003)
6. Vedaldi, A., Zisserman, A.: Efficient additive kernels via explicit feature maps. IEEE Trans. Pattern Anal. Mach. Intell. 34(3), 480–492 (2012)
7. Kovesi, P.: Symmetry and asymmetry from local phase. In: Tenth Australian Joint Conference on Artificial Intelligence, pp. 185–190. Citeseer (1997)
8. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91–110 (2004)
9. Rajpoot, K., Noble, A., Grau, V., Rajpoot, N.M.: Feature detection from echocardiography images using local phase information. In: Medical Image Understanding and Analysis (MIUA), Dundee, UK (2008)
10. Rahmatullah, B., Papageorghiou, A.T., Noble, J.A.: Integration of local and global features for anatomical object detection in ultrasound. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part III. LNCS, vol. 7512, pp. 402–409. Springer, Heidelberg (2012)
11. Felsberg, M., Sommer, G.: The monogenic signal. IEEE Trans. Signal Process. 49(12), 3136–3144 (2001)