Automatic colon polyp detection in endoscopic capsule images

ISSCS 2013 - International Symposium on Signals, Circuits and Systems

Volumn , Issue , 2013, Pages

  David, Emilian ^a   Boia, Raluca ^a   Malaescu, Alexandru ^a   Carnu, Mihai ^a  

^a DigitalOptics Corporation   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; DETECTION PERFORMANCE; ENDOSCOPIC CAPSULE; GEOMETRICAL ANALYSIS; HISTOGRAM OF GRADIENTS; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; MULTIPLE SCALE; POLYP DETECTION;

ENDOSCOPY; NEURAL NETWORKS;

SIGNAL DETECTION;

EID: 84890877975     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSCS.2013.6651196     Document Type: Conference Paper

References (17)

1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global Cancer Statistics, CA CANCER J CLIN 2011;61:69-90.
2. Riccioni, M.E., Urgesi, R. and Cianci, R. "Colon capsule endoscopy: Advantages, limitations and expectations. Which novelties?" World Journal of Gastrointestinal Endoscopy, 4, 99-107, (2012.
3. C. Van Wijk, V. F. Van Ravesteijn, F. M. Vos, and L. J. Van Vliet, "Detection and segmentation of colonic polyps on implicit isosurfaces by second principal curvature flow, " IEEE Transactions on Medical Imaging, vol. 29, no. 3, pp. 688-698, 2010.
4. Isabel N. Figueiredo, Surya Prasath, Yen-Hsi R. Tsai, Pedro N. Figueiredo: Automatic detection and segmentation of colonic polyps in wireless capsule images, Preprint 10-37, Department of Mathematics, University of Coimbra (2010) (also, ICES report 10-36 and UCLA-CAM Report 10-65).
5. Isabel N. Figueiredo, Juan Moreno, Surya Prasath, Pedro Figueiredo: A segmentation model using image gradient information and applications to endoscopic images, Preprint 10-30, Department of Mathematics, University of Coimbra (2010).
6. Pedro N. Figueiredo, Isabel N. Figueiredo, Surya Prasath, and Richard Tsai, "Automatic Polyp Detection in Pillcam Colon 2 Capsule Images and Videos: Preliminary Feasibility Report, "Diagnostic and Therapeutic Endoscopy, vol. 2011, Article ID 182435, 7 pages, 2011.
7. Sae Hwang, "Bag-Of-Visual-Words Approach based on SURF Features to Polyp Detection in Wireless Capsule Endoscopy Videos", Proceeding ISVC'11 Proceedings of the 7th International Conference on Advances in Visual Computing - Volume Part II, Pages 320-327.
8. H. Bay, A. Ess, T. Tuytelaars and L.Van Gool. SURF: Speeded Up Robust Features. Computer Vision and Image Understanding, vol.110, no.3, pp.346-359, 2008.
9. V. Vapnik, Statistical learning theory, Wiley, 1998.
10. Bishop, Christopher M. Pattern Recognition and Machine Learning. Springer.. ISBN 978-0-387-31073-2.
11. Navneet Dalal and Bill Triggs, "Histograms of Oriented Gradients for Human Detection, " IEEE Conference on Computer Vision and Pattern Recognition, San Diego, vol.1, pp, 886-893, June 2005. (Pubitemid 43897286)
12. János Schanda, "Colorimetry", Wiley-Interscience. p. 61, (2007).
13. Vapnik, Vladimir N.; The Nature of Statistical Learning Theory, Springer-Verlag, 1995. ISBN 0-387-98780-0.
14. Yoav Freund, Robert E. Schapire - A Short Introduction to Boosting, Journal of Japanese Society for Artificial Intelligence, 14(5):771-780, September, 1999.
15. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
16. Mikel Diez Buil, Non-Maxima Supression, Technical Report, Graz, August 29, 2011.
17. H. He and E. A. Garcia, "Learning from Imbalanced Data, " IEEE Trans. Knowledge and Data Engineering, vol. 21, issue 9, pp. 1263-1284, 2009.