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Increasing computer-aided detection specificity by projection features for CT colonography
1.American Cancer Society, Cancer Facts & Figures 2008 (American Cancer Society, Atlanta, 2008).
2.D. Eddy, “Screening for colorectal cancer,” Ann. Intern Med. 113, 373–384 (1990).
3.T. Gluecker, C. Johnson, W. Harmsen, K. Offord, A. Harris, L. Wilson, and D. Ahlquist, “Colorectal cancer screening with CT colonography, colonoscopy, and double-contrast barium enema examination: Prospective assessment of patient perceptions and preferences,” Radiology 227(2), 378–384 (2003).
4.B. Levin, D. Brooks, R. Smith, and A. Stone, “Emerging technologies in screening for colorectal cancer: CTC, immunochemical fecal occult blood tests, stool screening using molecular markers,” Ca-Cancer J. Clin. 53(1), 44–55 (2003).
5.P. Pickhardt, J. Choi, I. Hwang, J. Butler, M. Puckett, H. Hildebrandt, R. Wong, P. Nugent, P. Mysliwiec, and W. Schindler, “Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults,” N. Engl. J. Med. 349(23), 2191–2200 (2003).
6.L. Bogoni, P. Cathier, M. Dundar, A. Jerebko, S. Lakare, J. Liang, S. Periaswamy, M. Baker, and M. Macari, “Computer-aided detection (CAD) for CT colonography: A tool to address a growing need,” Br. J. Radiol. 78, S57–S62 (2005).
7.R. Summers, J. Yao, P. Pickhardt, M. Franaszek, I. Bitter, D. Brickman, V. Krishna, and R. Choi, “Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population,” Gastroenterology 129, 1832–1844 (2005).
8.S. Halligan, S. Taylor, J. Dehmeshki, H. Amin, X. Ye, J. Tsang, and M. Roddie, “Computer-assisted detection for CT colonography: External validation,” Clin. Radiol. 61, 758–763 (2006).
9.S. Taylor, S. Halligan, D. Burling, M. Roddie, L. Honeyfield, J. McQuillan, H. Amin, and J. Dehmeshki, “Computer-assisted reader software versus expert reviewers for polyp detection on CT colonography,” AJR, Am. J. Roentgenol. 186, 696–702 (2006).
10.R. Summers, C. Beaulieu, L. Pusanik, J. Malley, R. Jeffrey, D. Glazer, and S. Napel, “Automated polyp detector for CT colonography: Feasibility study,” Radiology 216, 284–290 (2000).
11.R. Summers, C. Johnson, L. Pusanik, J. Malley, A. Youssef, and J. Reed, “Automated polyp detection at CT colonography: Feasibility assessment in a human population,” Radiology 219(1), 51–59 (2001).
12.R. Summers, J. Yao, and D. Johnson, “CT colonography with computer-aided detection: Automated recognition of ileocecal valve to reduce number of false-positive detections,” Radiology 233, 266–272 (2004).
13.J. Yao, M. Miller, M. Franaszek, and R. Summers, “Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable model,” IEEE Trans. Med. Imaging 23(11), 1344–1352 (2004).
14.G. Iordanescu and R. Summers, “Reduction of false positives on the rectal tube in computer-aided detection for CT colonography,” Med. Phys. 31(10), 2855–2862 (2004).
15.J. Li, R. Uitert, J. Yao, N. Petrick, M. Franaszek, A. Huang, and R. Summers, “Wavelet method for CT colonography computer-aided polyp detection,” Med. Phys. 35(8), 3527–3538 (2008).
16.H. Yoshida and J. Nappi, “Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps,” IEEE Trans. Med. Imaging 20(12), 1261–1274 (2001).
17.J. Nappi, A. Dachman, P. MacEneaney, and H. Yoshida, “Computer-aided detection of polyps in CT colonography: Evaluation of volumetric features in differentiating polyps from false positives,” Int. Congr. Ser. 1230, 676–681 (2001).
18.J. Näppi and H. Yoshida, “Feature-guided analysis for reduction of false positives in CAD of polyps for computed tomographic colonography,” Med. Phys. 30(7), 1592–1601 (2003).
19.J. Näppi, H. Frimmel, A. Dachman, and H. Yoshida, “Computerized detection of colorectal masses in CT colonography based on fuzzy merging and wall-thickening analysis,” Med. Phys. 31(4), 860–872 (2004).
20.S. Göktürk, C. Tomasi, B. Acar, C. Beaulieu, D. Paik, R. Jeffrey, J. Yee, and S. Napel, “A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography,” IEEE Trans. Med. Imaging 20(12), 1251–1260 (2001).
21.B. Acar, C. Beaulieu, S. Göktürk, C. Tomasi, D. Paik, B. Jeffrey, J. Yee, and S. Napel, “Edge displacement field-based classification for improved detection of polyps in CT colonography,” IEEE Trans. Med. Imaging 21(12), 1461–1467 (2002).
22.D. Paik, C. Beaulieu, G. Rubin, B. Acar, B. Jeffrey, J. Yee, J. Dey, and S. Napel, “Surface normal overlap: A computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT,” IEEE Trans. Med. Imaging 23(6), 661–675 (2004).
23.G. Kiss, J. Cleynenbreugel, M. Thomeer, P. Suetens, and G. Marchal, “Computer-aided diagnosis in virtual colonography via combination of surface normal and sphere fitting methods,” Eur. Radiol. 12(1), 77–81 (2002).
24.Z. Wang, Z. Liang, L. Li, X. Li, J. Anderson, and D. Harrington, “Reduction of false positives by internal features for polyp detection in CT-based virtual colonoscopy,” Med. Phys. 32(12), 3602–3616 (2005).
25.H. Zhu, C. Duan, P. Pickhardt, S. Wang, and Z. Liang, “Computer-aided detection of colonic polyps with level set-based adaptive convolution in volumetric mucosa to advance CT colonography toward a screening modality,” Cancer Management and Research 1(1), 1–13 (2009).
28.H. Yoshida and J. Nappi, “CAD in CT colonography: Past, present, and future,” in Proceedings of the 11th International Conference of MICCAI, Workshop on Computational and Visualization Challenges in the New Era of Virtual Colonoscopy, 6 September 2008, New York, NY, pp. 15–21 (unpublished).
29.H. Lu, G. Zhang, T. Wang, C. Jiao, J. Wang, and Z. Liang, “Computer-aided polyp detection based on 3D texture analysis for virtual colonoscopy,” in Proceedings of the 11th International Conference of MICCAI, Workshop on Computational and Visualization Challenges in the New Era of Virtual Colonoscopy, 6 September 2008, New York, NY, pp. 52–57 (unpublished).
30.K. Suzuki, H. Yoshida, J. Nappi, and A. Dachman, “Massive-training artificial neural network (MTANN) for reduction of false positives in computer-aided detection polyps: Suppression of rectal tubes,” Med. Phys. 33(10), 3814–3824 (2006).
31.K. Suzuki, H. Yoshida, J. Nappi, S. Armato, and A. Dachman, “Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography,” Med. Phys. 35(2), 694–703 (2008).
32.P. Pickhardt, A. Lee, A. Taylor, S. Michel, T. Winter, A. Shadid, R. Meiners, P. Chase, J. Hinshaw, J. Williams, T. Prout, S. Husain, and D. Kim, “Primary 2D versus primary 3D polyp detection at screening CT colonography,” AJR, Am. J. Roentgenol. 189, 1451–1456 (2007).
33.M. Wan, F. Dachille, K. Kreeger, S. Lakare, M. Sato, A. Kaufman, M. Wax, and Z. Liang, “Interactive electronic biopsy for 3D virtual colonoscopy,” in Proceedings of SPIE Medical Imaging, 21 February 2001, San Diego, CA, Vol. 4321, pp. 483–488 (unpublished).
34.P. Pickhardt, “Translucency rendering in 3D endoluminal CT colonography: A useful tool for increasing polyp specificity and decreasing interpretation time,” AJR, Am. J. Roentgenol. 183, 429–436 (2004).
35.S. Wang, H. Zhu, H. Lu, and Z. Liang, “Volume-based feature analysis of mucosa for automatic initial polyp detection in virtual colonoscopy,” Int. J. CARS 3(1–2), 131–142 (2008).
36.H. Zhu, Y. Fan, H. Lu, and Z. Liang, “Improving the initial polyp candidate extraction for CT colonography,” Phys. Med. Biol. (submitted).
39.R. Gonzalez and R. Woods, Digital Image Processing, 2nd ed. (Pearson Education, Delhi, India, 2002).
41.S. Wang, L. Li, H. Cohen, S. Mankes, J. Chen, and Z. Liang, “An EM approach to MAP solution of segmenting tissue mixture percentages with application to CT-based virtual colonoscopy,” Med. Phys. 35(12), 5787–5798 (2008).
42.P. Pickhardt and J. Choi, “Electronic cleansing and stool tagging in CT colonography: Advantages and pitfalls with primary 3D evaluation,” AJR, Am. J. Roentgenol. 181, 799–805 (2003).
43.P. Pickhardt, P. Nugent, J. Choi, and W. Schindler, “Flat colorectal lesions in asymptomatic adults: Implications for screening with CT virtual colonoscopy,” AJR, Am. J. Roentgenol. 183, 1343–1347 (2004).
45.A. Lostumbo, K. Suzuki, and A. Dachman, “Flat lesions in CT colonography,” Abdom. Imaging (unpublished).
46.S. Park, S. Lee, E. Choi, S. Kim, S. Yang, J. Kim, and H. Ha, “Flat colorectal neoplasms: Definition, importance, and visualization on CT colonography,” AJR, Am. J. Roentgenol. 188, 953–959 (2007).
49.J. Yao, R. Summers, and A. Hara, “Optimizing the support vector machine (SVM) committee configuration in a colonic polyp CAD system,” in Proceedings of SPIE Medical Imaging, 13 February 2005, San Diego, CA, Vol. 5746, pp. 384–392 (unpublished).
50.X. Zhao, H. Zhu, S. Wang, and Z. Liang, “Reduction of false positives by machine learning for computer-aided detection of colonic polyps,” Proceedings of SPIE Medical Imaging, 18 February 2009, Orlando, FL, pp. 72602N1–72602N8 (unpublished).
51.H. Zhu, S. Wang, Y. Fan, and Z. Liang, “Eigenvalue-weighting and feature selection for computer-aided polyp detection in CT colonography,” in Proceedings of SPIE Medical Imaging, San Diego, CA, 2010 (unpublished).
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