Zemike moment feature extraction for classifying lesion's shape of breast ultrasound images

Proceedings - 2015 7th International Conference on Information Technology and Electrical Engineering: Envisioning the Trend of Computer, Information and Engineering, ICITEE 2015

Volumn , Issue , 2015, Pages 458-463

  Nugroho, Hanung Adi ^a   Yusufiyah, Hesti Khuzaimah Nurul ^a   Adji, Teguh Bharata ^a   Nugroho, Anan ^a  

^a GADJAH MADA UNIVERSITY   (Indonesia)

Author keywords

breast cancer; Chan Vese active contour; invariant moment; lesion's shape; median filter; MLP; SVM; ultrasonography; Zernike moment

Indexed keywords

DISEASES; EXTRACTION; FACE RECOGNITION; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE SEGMENTATION; MEDIAN FILTERS; MEDICAL IMAGING; SUPPORT VECTOR MACHINES; ULTRASONICS; ULTRASONOGRAPHY;

ACTIVE CONTOURS; BREAST CANCER; INVARIANT MOMENT; LESION'S SHAPE; ZERNIKE MOMENTS;

IMAGE CLASSIFICATION;

EID: 84966560383     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICITEED.2015.7408990     Document Type: Conference Paper

References (36)

1. WHO, "Latest world cancer statistics Global cancer burden rises to 14. 1 million new cases in 2012, " 2013.
2. I. Kemenkes RI, "Situasi penyakit kanker, " 2015
3. L. Rapp, M. A. Dennis, S. H. Parker, and G. A. Sisney, "Nodules-: Use of Sonography to Distinguish Lesions ', " p. 123, 1995.
4. L. Levy, M. Suissa, J. F. Chiche, G. Teman, and B. Martin, "BIRADS ultrasonography., " European journal of radiology, vol. 61, no. 2, pp. 202-11, Feb. 2007.
5. X. Liu, Z. Huo, and J. Zhang, "Automated segmentation of breast lesions in ultrasound images, " pp. 7433-7435, 2005.
6. F. Benzarti and H. Amiri, "Speckle Noise Reduction in Medical Ultrasound Images, " 2013.
7. S. Wu, Q. Zhu, and Y. X. P. D, "Evaluation of Various Speckle Reduction Filters on Medical Ultrasound Images, " pp. 1148-1151, 2013.
8. R. N. Wardhani, "Analisis Penerapan Metode Konvolusi Untuk Reduksi Derau Pada Citra Digital, " pp. 191-198, 2013.
9. P. Kumarl and S. Asan, "Performance Analysis of Filters for Speckle Reduction in Medical polycystic ovary Ultrasound Images, " no. July, 2012.
10. K. Karthikeyan, "Speckle Noise Reduction of Medical Ultrasound Images using Bayesshrink Wavelet Threshold, " vol. 22, no. 9, pp. 8-14, 2011.
11. A. Nugroho and H. A. Nugroho, "Active Contour Bilateral Filtering for Breast Lesions Segmentation on Ultrasound Images, " 2012.
12. N. R. S. Parveen and M. Phil, "Segmenting Tumors in Ultrasound Images, " no. Icccn, 2008.
13. Y. Huang, D. Chen, and A. D. Acquisition, "Automatic Contouring for Breast Tumors in 2-D Sonography, " pp. 2-5, 2005.
14. A. Kadir, W. Eny, Z. Wan, A. Rahman, and A. Ibrahim, "Segmentation of Masses from Breast Ultrasound Images using Parametric Active Contour Algorithm, " vol. 8, no. 5, pp. 640-647, 2010.
15. K. Ali and S. Nadi, "An Implementation of the Active Contours without Edges Model and the Logic Framework for Active Contours on Multichannel Images, " 2010.
16. M. Savelonas, D. Maroulis, and D. Iakovidis, "A Variable Background Active Contour Model for Automatic Detection of Thyroid Nodules in Ultrasound Images, " 2005.
17. T. F. Chan and L. A. Vese, "Active Contours Without Edges, " vol. 10, no. 2, pp. 266-277, 2001.
18. H. D. Cheng, J. Shan, W. Ju, Y. Guo, and L. Zhang, "Automated breast cancer detection and classification using ultrasound images-: A survey, " Pattern Recognition, vol. 43, no. 1, pp. 299-317, 2010.
19. P. Getreuer, "Chan-Vese Segmentation Simplified Mumford-Shah Model Level Set Functions, " vol. 2, pp. 214-224, 2012.
20. K. Saini, M. L. Dewal, and M. Rohit, "Ultrasound Imaging and Image Segmentation in the area of, " vol. 24, pp. 41-60, 2010.
21. S. Sridevi, "SURVEY OF IMAGE SEGMENTATION ALGORITHMS ON ULTRASOUND MEDICAL IMAGES, " 2013.
22. C. Bhushan, "Ultrasound Image Segmentation, " pp. 1-6, 2009.
23. W. Gómez, L. Leija, W. C. A. Pereira, and A. F. C. Infantosi, "Semiautomatic contour detection of breast lesions in ultrasonic images with morphological operators and average radial derivative function, " Physics Procedia, vol. 3, no. 1, pp. 373-380, 2010.
24. R. Rouhi, M. Jafari, S. Kasaei, and P. Keshavarzian, "Benign and malignant breast tumors classification based on region growing and CNN segmentation, " Expert Systems with Applications, vol. 42, no. 3, pp. 990-1002, Feb. 2015.
25. W. Kim and Y. Kim, "A region-based shape descriptor using Zernike moments, " vol. 16, 2000.
26. J. A. Noble, S. Member, and D. Boukerroui, "Ultrasound Image Segmentation-: A Survey, " vol. 25, no. 8, pp. 987-1010, 2006.
27. A. Tahmasbi, F. Saki, and S. B. Shokouhi, "Classification of benign and malignant masses based on Zernike moments., " Computers in biology and medicine, vol. 41, no. 8, pp. 726-35, Aug. 2011.
28. M. Yang, K. Kpalma, J. Ronsin, M. Yang, K. Kpalma, J. Ronsin, A. Survey, and S. Feature, "A Survey of Shape Feature Extraction Techniques To cite this version-:, " 2010.
29. M. Vorobyov, "Shape Classification Using Zernike Moments, " pp. 1-22, 2011.
30. K. Hwang, J. G. Lee, J. H. Kim, H. Lee, K. Om, M. Yoon, and W. Choe, "Computer Aided Diagnosis ( CAD) of Breast Mass on Ultrasonography and Scintimammography, " pp. 187-190, 2005.
31. R. Chang, W. Wu, W. K. Moon, and D. Chen, "Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors, " pp. 179-185, 2005.
32. X. Shi, H. D. Cheng, L. Hu, W. Ju, and J. Tian, "Detection and classification of masses in breast ultrasound images, " Digital Signal Processing, vol. 20, no. 3, pp. 824-836, May 2010.
33. A. susanto Kadir, A., "Pengolahan Citra; Teori dan Aplikasi, " pp. 620-630, 2012.
34. R. S. Chora, "Image Feature Extraction Techniques and Their Applications for CBIR and Biometrics Systems, " vol. 1, no. 1, 2007.
35. D. Zhang and G. Lu, "A Comparative Study of Three Region Shape Descriptors, " no. January, pp. 1-6, 2002.
36. A. S. Nugroho, A. B. Witarto, and D. Handoko, "Support Vector Machine, " 2003.