On normalized convolution to measure curvature features for automatic polyp detection

Lecture Notes in Computer Science

Volumn 3216, Issue PART 1, 2004, Pages 200-208

  Van Wijk, C ^a   Truyen, R ^b   Van Gelder, R E ^c   Van Vliet, L J ^a   Vos, F M ^a,c  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b PHILIPS HEALTHCARE   (United States)

^c ACADEMIC MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; FEATURE EXTRACTION; IMAGE ANALYSIS; OPTIMIZATION; TUMORS; VISUALIZATION; CONVOLUTION; DIAGNOSIS; ECONOMIC AND SOCIAL EFFECTS;

AUTOMATIC POLYP DETECTION; IMAGE GEOMETRIES; ISOTROPIC FILTERING; NOISE SUPPRESSION; ACCURATE MEASUREMENT; AUTOMATIC DETECTION; CONFIDENCE MEASURE; CURVATURE FEATURES; DERIVATIVE OPERATORS; NORMALIZED CONVOLUTION; TAYLOR EXPANSIONS;

MEDICAL IMAGING;

EID: 20344382501     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30135-6_25     Document Type: Conference Paper

References (15)

1. J. Bernsen: Dynamic Thresholding of grey level images. In ICPRA'86: Proc. Int. Conf. on Pattern Recognition, pp 1251-1255, Berlin, Germany, 1986
2. G. Farnebäck: A Unified Framework for Bases, Frames, Subspace Bases, and Sub-space Frames. SCIA 1999, pages 341-349, Kangerlussuaq, Greenland, 1999.
3. Gunnar Farnebäck. Spatial Domain Methods for Orientation and Velocity Estimation. PhD Thesis, Linköping University, Sweden, 1999.
4. S.B. Goturk et al.: A statistical 3-d pattern processing method for computer-aided detection of polyps in et colonography. IEEE Trans. on Med. Imag. 20:1251-1260, 2001
5. A. K. Jerebko et al.: Multiple neural network classification scheme for detection of colonic polyps in ct colonography data sets. Acad. Radiol., 10:154-160, 2003
6. G. Kiss et al.: Computer-aided diagnosis in virtual colonography via combination of surface normal and sphere fitting methods. European Radiology, 12:77-88, 2002
7. H. Knutsson and C.-F. Westin: Normalized Convolution - a technique for filtering incomplete and uncertain data. SCIA, 2:997-1006, 1993
8. J. Nappi and H. Yoshida: Automated detection of polyps with ct colonography: evaluation of volumetric features for reduction of false-positive findings. Acad. Radiol., 9:386-397, 2002
9. M. Persoon, I.W.O. Serlie, F. Post, R. Truyen and F. M. Vos: Visualization of noisy and biased volume data using first and second order derivative techniques. IEEE Visualization 2003 (Proc. Conf. Seattle, WA), pages 379-385, 2003
10. J.D. Potter, M.L. Slattery and R. M. Bostick. Colon cancer: a review of the epidemiology. Epidemiol. Rev., 15:499-545, 1993
11. R. M. Summers, C. F. Beaulieu, L. M. Pusanik, J. D. Malley, R. Brooke, J. D. Glazer and S. Napel: Automated polyp detector for ct colonography: Feasibility Study. Radiology, 216:284-290, 2000
12. J.P. Thirion and A. Gourdon. Computing the Differential Characteristics of Isointensity Surfaces. Computer Vision and Image Understanding, 61(2):190-202, 1995
13. B. Vogelstein, E. R. Fearon and S. R. Hamilton: Genetic alterations during colorectal-tumour development. N.Eng.J.Med., 319:525-532, 1998
14. C-.F. Westin A Tensor Framework for Multidimensional Signal Processing. PhD Thesis, Linköping University, Sweden, 1994.
15. H. Yoshida: Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps. IEEE Transactions on Medical Imaging, 20:1261-1274, 2001