메뉴 건너뛰기




Volumn 11, Issue 6, 2012, Pages 543-552

Ovarian tumor characterization using 3D ultrasound

Author keywords

Classification; Computer aided diagnosis; Laws texture energy; Local binary pattern; Ovarian cancer; Ovarian cancer index; Support vector machine

Indexed keywords


EID: 84868295252     PISSN: 15330346     EISSN: None     Source Type: Journal    
DOI: 10.7785/tcrt.2012.500272     Document Type: Article
Times cited : (31)

References (28)
  • 1
    • 84876202350 scopus 로고    scopus 로고
    • NCI (National Cancer Institute) on ovarian cancer, Information available at, last accessed August 2011
    • NCI (National Cancer Institute) on ovarian cancer. Information available at http://www.cancer.gov/cancertopics/types/ovarian (last accessed August 2011).
  • 3
    • 35548994023 scopus 로고    scopus 로고
    • Fifty years of progress in gynecologic ultrasound
    • Zaidi, S. I. Fifty years of progress in gynecologic ultrasound. Int J Gynaecol Obstet 99, 195-197 (2007).
    • (2007) Int J Gynaecol Obstet , vol.99 , pp. 195-197
    • Zaidi, S.I.1
  • 5
    • 50349091687 scopus 로고    scopus 로고
    • The early detection of ovarian cancer: From traditional methods to proteomics. Can we really do better than serum CA-125?
    • Nossov, V., Amneus, M., Su, F., Lang, J., Janco, J. M., Reddy, S. T., Farias-Eisner, R. The early detection of ovarian cancer: from traditional methods to proteomics. Can we really do better than serum CA-125? Am J Obstet Gynecol 199, 215-223 (2008).
    • (2008) Am J Obstet Gynecol , vol.199 , pp. 215-223
    • Nossov, V.1    Amneus, M.2    Su, F.3    Lang, J.4    Janco, J.M.5    Reddy, S.T.6    Farias-Eisner, R.7
  • 6
    • 1942533386 scopus 로고    scopus 로고
    • Benign ovarian tumors with solid and cystic components that mimic malignancy
    • Kim, K. A., Park, C. M., Lee, J. H., Kim, H. K., Cho, S. M., Kim, B., Seol, H. Y. Benign ovarian tumors with solid and cystic components that mimic malignancy. AJR Am J Roentgenol 182, 1259-1265 (2004).
    • (2004) AJR Am J Roentgenol , vol.182 , pp. 1259-1265
    • Kim, K.A.1    Park, C.M.2    Lee, J.H.3    Kim, H.K.4    Cho, S.M.5    Kim, B.6    Seol, H.Y.7
  • 7
    • 34748819902 scopus 로고    scopus 로고
    • Segmentation of ovarian ultrasound images using single template cellular neural networks trained with support vector machines
    • Lenic, M., Zazula, D., Cigale, B. Segmentation of ovarian ultrasound images using single template cellular neural networks trained with support vector machines. In: Proceedings of 20 th IEEE International Symposium on Computer-Based Medical Systems, 205-212 (2007).
    • (2007) th IEEE International Symposium on Computer-Based Medical Systems , vol.205 , pp. 212
    • Lenic, M.1    Zazula, D.2    Cigale, B.3
  • 9
    • 61849115196 scopus 로고    scopus 로고
    • Automated detection of polycystic ovary syndrome from ultrasound images
    • Deng, Y., Wang, Y., Chen, P. Automated detection of polycystic ovary syndrome from ultrasound images. In: Proceedings of the 30 th Annual International IEEE EMBS Conference, 4772-4775 (2008).
    • (2008) th Annual International IEEE EMBS Conference , vol.4772 , pp. 4775
    • Deng, Y.1    Wang, Y.2    Chen, P.3
  • 12
    • 76449106558 scopus 로고    scopus 로고
    • Automatic computer-based tracings (ACT) in longitudinal 2-D ultrasound images using different scanners
    • Molinari, F., Liboni, W., Giustetto, P., Badalamenti, S., Suri, J. S. Automatic computer-based tracings (ACT) in longitudinal 2-D ultrasound images using different scanners. J Mech Med Biol 9, 481-505 (2009).
    • (2009) J Mech Med Biol , vol.9 , pp. 481-505
    • Molinari, F.1    Liboni, W.2    Giustetto, P.3    Badalamenti, S.4    Suri, J.S.5
  • 13
    • 0029669420 scopus 로고    scopus 로고
    • Comparative study of texture measures with classification based on feature distributions
    • Ojala, T., Pietikäinen, M., Harwood, D. A. Comparative study of texture measures with classification based on feature distributions. Pattern Recogn 29, 51-59 (1996).
    • (1996) Pattern Recogn , vol.29 , pp. 51-59
    • Ojala, T.1    Pietikäinen, M.2    Harwood, D.A.3
  • 14
    • 0036647193 scopus 로고    scopus 로고
    • Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
    • Ojala, T., Pietikäinen, M., Maenpaa, T. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans Pattern Anal 24, 971-987 (2002).
    • (2002) IEEE Trans Pattern Anal , vol.24 , pp. 971-987
    • Ojala, T.1    Pietikäinen, M.2    Maenpaa, T.3
  • 15
    • 65149098349 scopus 로고    scopus 로고
    • Dominant local binary patterns for texture classification
    • Liao, S., Law, M. W. K., Chung, A. C. S. Dominant local binary patterns for texture classification. IEEE Trans Image Process 18, 1107-1118 (2009).
    • (2009) IEEE Trans Image Process , vol.18 , pp. 1107-1118
    • Liao, S.1    Law, M.W.K.2    Chung, A.C.S.3
  • 16
    • 76849093371 scopus 로고    scopus 로고
    • Local derivative pattern versus local binary pattern: Face recognition with high-order local pattern descriptor
    • Zhang, B., Gao, Y., Zhao, S., Liu, J. Local derivative pattern versus local binary pattern: face recognition with high-order local pattern descriptor. IEEE Trans Image Process 19, 533-544 (2010).
    • (2010) IEEE Trans Image Process , vol.19 , pp. 533-544
    • Zhang, B.1    Gao, Y.2    Zhao, S.3    Liu, J.4
  • 17
    • 85054952615 scopus 로고
    • Rapid texture identification
    • Laws, K. I. Rapid texture identification. SPIE Conference Series 238, 376-380 (1980).
    • (1980) SPIE Conference Series , vol.238 , pp. 376-380
    • Laws, K.I.1
  • 21
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burgess, C. J. C. A tutorial on support vector machines for pattern recognition. Data Min Knowl Disc 2, 1-47 (1998).
    • (1998) Data Min Knowl Disc , vol.2 , pp. 1-47
    • Burgess, C.J.C.1
  • 22
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C., Vapnik, V. Support-vector networks. Mach Learn 20, 273-297 (1995).
    • (1995) Mach Learn , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 23
    • 17644437641 scopus 로고    scopus 로고
    • Advanced support vector machines and kernel methods
    • David, V., Sanchez, A. Advanced support vector machines and kernel methods. Neurocomputing 55, 5-20 (2003).
    • (2003) Neurocomputing , vol.55 , pp. 5-20
    • David, V.1    Sanchez, A.2
  • 27
    • 45249116785 scopus 로고    scopus 로고
    • Ovarian cancer diagnosis with complementary learning fuzzy neural network
    • Tan, T. Z., Quek, C., Ng, G. S., Khalil Razvi. Ovarian cancer diagnosis with complementary learning fuzzy neural network. Artif Intell Med 43, 207-222 (2008).
    • (2008) Artif Intell Med , vol.43 , pp. 207-222
    • Tan, T.Z.1    Quek, C.2    Ng, G.S.3    Razvi, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.