SVM based colon polyps classifier in a wireless active stereo endoscope

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 5585-5588

  Ayoub, J ^a   Granado, B ^a   Mhanna, Y ^b   Romain, O ^c  

^a UNIVERSITÉ DE CERGY PONTOISE   (France)

^b LEBANESE UNIVERSITY   (Lebanon)

^c SORBONNE UNIVERSITÉ   (France)

Author keywords

3D endoscopy; 3D reconstruction; Active stereovision; Feature selection; Moment invariant; Object classification; Polypectomy; Support vector machines

Indexed keywords

3D ENDOSCOPY; 3D RECONSTRUCTION; FEATURE SELECTION; MOMENT INVARIANT; OBJECT CLASSIFICATION; POLYPECTOMY; SUPPORT VECTOR;

CLASSIFIERS; ENDOSCOPY; FEATURE EXTRACTION; GRAPHIC METHODS; SENSORS; STEREO VISION; SUPPORT VECTOR MACHINES;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; CLASSIFICATION; COLON POLYP; ENDOSCOPE; EQUIPMENT; HUMAN; IMAGE PROCESSING; WIRELESS COMMUNICATION;

ALGORITHMS; COLONIC POLYPS; ENDOSCOPES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; WIRELESS TECHNOLOGY;

EID: 78650830275     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626790     Document Type: Conference Paper

References (12)

1. D. K. Rex, et al., "Quality indicators for colonoscopy", American Journal of Gastroenterol, 101, 873-885 (2006).
2. T. Graba, B. Granado, O. Romain, T. Ea, A. Pinna, and P. Garda., "Cyclope: an integrated real-time 3d image sensor", in XIX Conference on design of circuits and integrated systems, 2004
3. A. Kolar, T. Graba, A. Pinna, O. Romain, and B. Granado, "Smart Bi-Spectral Image Sensor for 3D Vision", IEEE sensors 2007, pp295.
4. P. Tchangani, "Support Vector Machines : A Tool for Pattern Recognition and Classification", Studies in Informatics and Control Journal, Vol. 14, No. 2, p99-109, Ed. ICI, 1220-1766.
5. T. Stehle, R. Auer, and al., "Classification of Colon Polyps in NBI Endoscopy Using Vascularization Features", in Medical Imaging 2009: Computer-Aided Diagnosis, 2009.
6. S. Theodoridis, K. Koutroumbas, "Pattern Recognition", 2nd edition. academic press 2003
7. A. Kolar, O. Romain, J. Ayoub, and B. Granado, "A system for an accurate 3D reconstruction in Video Endoscopy Capsule, in EURASIP Journal on Embedded Systems, 2009.
8. M. Gruber and K. Y. Hsu, "Moment-Based Image Normalization with High Noise-Tolerance", IEEE Transactions Pattern Analysis and Machine Intelligence, Vol. 19, No. 2, February 1997, pp. 136-139.
9. C. Gold and P. Sollich, "Model selection for Support Vector Machine classification".Neurocomputing, 55:221-249, 2003.
10. C. Cortes and V. Vapnik, "Support-vector network", Machine Learning, 20:273-297, 1995.
11. D. Fradkin and I. Muchnik, "Support Vector Machines for Classification", in J. Abello and G. Carmode (Eds) "Discrete Methods in Epidemiology", DIMACS Series in Discrete Mathematics and Theoretical Computer Science, volume 70, pp. 13-20, 2006.
12. L. T. Jolliffe, "Principal Component Analysis",Springer-Verlag, New. York 1986.