A new mass classification system derived from multiple features and a trained MLP model

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 9035, Issue , 2014, Pages

  Tan, Maxine ^a   Pu, Jiantao ^b   Zheng, Bin ^a  

^a University of Oklahoma   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Breast cancer; Computer aided diagnosis of mammograms; Feature selection; Pattern classification

Indexed keywords

FEATURE EXTRACTION; LAKES; MEDICAL IMAGING; PATTERN RECOGNITION; STATISTICAL TESTS;

ACCURACY OF CLASSIFICATIONS; AREA UNDER THE ROC CURVE; BREAST CANCER; CLASSIFICATION ACCURACY; MASS CLASSIFICATIONS; MULTI LAYER PERCEPTRON; RECEIVER OPERATING CHARACTERISTIC ANALYSIS; SHAPE BASED FEATURES;

COMPUTER AIDED DIAGNOSIS;

EID: 84902094422     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2042522     Document Type: Conference Paper

References (32)

1. American Cancer Society, "Cancer Facts & Figures 2013," http://www. cancer. org/research/cancerfactsstatistics/cancerfactsfigures2013/ index, (2013).
2. R. Siegel, D. Naishadham, and A. Jemal, "Cancer statistics, 2013," CA Cancer J. Clin., 63(1), 11-30 (2013).
3. E. A. Sickles, D. E. Wolverton, and K. E. Dee, "Performance parameters for screening and diagnostic mammography: specialist and general radiologists," Radiology, 224(3), 861-869 (2002).
4. R. M. Rangayyan, F. J. Ayres, and J. E. L. Desautels, "A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs," Journal Of The Franklin Institute-Engineering And Applied Mathematics, 344(3-4), 312-348 (2007).
5. A. Oliver, J. Freixenet, J. Marti et al., "A review of automatic mass detection and segmentation in mammographic images," Med. Image Anal., 14(2), 87-110 (2010).
6. M. Elter, and A. Horsch, "CADx of mammographic masses and clustered microcalcifications: A review," Med. Phys., 36(6), 2052-2068 (2009).
7. R. M. Rangayyan, N. M. El-Faramawy, J. E. Desautels et al., "Measures of acutance and shape for classification of breast tumors," IEEE Trans. Med. Imaging, 16(6), 799-810 (1997).
8. J. Suckling, J. Parker, D. R. Dance et al., "The Mammographic Image Analysis Society digital mammogram database," Proc. 2nd International Workshop on Digital Mammography, 375-378 (1994).
9. M. Mavroforakis, H. Georgiou, N. Dimitropoulos et al., "Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machines," Eur. J. Radiol., 54(1), 80-89 (2005).
10. C. Varela, S. Timp, and N. Karssemeijer, "Use of border information in the classification of mammographic masses," Phys. Med. Biol., 51, 425-441 (2006).
11. G. M. t. Brake, N. Karssemeijer, and J. H. Hendriks, "An automatic method to discriminate malignant masses from normal tissue in digital mammograms," Phys. Med. Biol., 45(10), 2843-2857 (2000).
12. Z. Huo, M. L. Giger, C. J. Vyborny et al., "Automated computerized classification of malignant and benign masses on digitized mammograms," Acad. Radiol., 5(3), 155-168 (1998).
13. Z. Huo, M. L. Giger, C. J. Vyborny et al., "Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness," Acad. Radiol., 7(12), 1077-1084 (2000).
14. B. Sahiner, H. P. Chan, N. Petrick et al., "Computerized characterization of masses on mammograms: The rubber band straightening transform and texture analysis," Med. Phys., 25(4), 516-526 (1998).
15. R. J. Nandi, A. K. Nandi, R. M. Rangayyan et al., "Classification of breast masses in mammograms using genetic programming and feature selection," Med. Bio. Eng. Comput., 44(8), 683-694 (2006).
16. B. Zheng, A. Lu, L. A. Hardesty et al., "A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment," Med. Phys., 33(1), 111-117 (2006).
17. S. C. Park, X. H. Wang, and B. Zheng, "Assessment of performance improvement in content-based medical image retrieval schemes using fractal dimension," Acad. Radiol., 16(10), 1171-1178 (2009).
18. M. Heath, K. Bowyer, D. Kopans et al., "Current Status of the Digital Database for Screening Mammography," Digital Mammography, 13, 457-460 (1998).
19. B. Zheng, Y.-H. Chang, and D. Gur, "Computerized detection of masses in digitized mammograms using single-image segmentation and a multilayer topographic feature analysis," Acad. Radiol., 2(11), 959-966 (1995).
20. H. D. Cheng, X. J. Shi, R. Min et al., "Approaches for automated detection and classification of masses in mammograms," Pattern Recognit., 39(4), 646-668 (2006).
21. L. Shen, R. M. Rangayyan, and J. E. L. Desautels, "Detection and classification of mammographic calcifications," Int. J. Pattern Recognit. Artif. Intell., 7(6), 1403-1416 (1993).
22. J. Kilday, F. Palmieri, and M. D. Fox, "Classifying mammographic lesions using computerized image analysis," IEEE Trans. Med. Imaging, 12(4), 664-669 (1993).
23. B. Zheng, J. K. Leader, G. S. Abrams et al., "Multiview-based computer-aided detection scheme for breast masses," Med. Phys., 33(9), 3135-3143 (2006).
24. X. Tang, "Texture information in run-length matrices," IEEE Trans. Image Proc., 7(11), 1602-1609 (1998).
25. X. Wei, "Gray Level Run Length Matrix Toolbox v1. 0," Beijing Aeronautical Technology Research Center, http://www. mathworks. com/matlabcentral/fileexchange/17482-gray-level-run-length-matrix-toolbox. Last accessed: 12 December 2013, (2007).
26. M. Tan, R. Deklerck, B. Jansen et al., "A novel computer-aided lung nodule detection system for CT images," Med. Phys., 38(10), 5630-5645 (2011).
27. M. Tan, R. Deklerck, J. Cornelis et al., "Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules," Artificial Intelligence in Medicine, 59(3), 157-167 (2013).
28. Y.-H. Chang, X.-H. Wang, L. A. Hardesty et al., "Computerized assessment of tissue composition on digitized mammograms," Acad. Radiol., 9(8), 899-905 (2002).
29. B. Zheng, X. Wang, D. Lederman et al., "Computer-aided detection; the effect of training databases on detection of subtle breast masses," Acad. Radiol., 17(20650667), 1401-1408 (2010).
30. P. Pudil, J. Novovicova, and J. Kittler, "Floating search methods in feature selection," Pattern Recognition Letters, 15(11), 1119-1125 (1994).
31. S. Theodoridis, and K. Koutroumbas, [Pattern Recognition] Academic Press, 4th edition, San Diego, CA, USA (2008).
32. S. Theodoridis, and K. Koutroumbas, [Introduction to Pattern Recognition: A MATLAB Approach] Academic Press, (2010).