메뉴 건너뛰기




Volumn 32, Issue 12, 2013, Pages 2169-2178

Computer-aided breast cancer diagnosis based on the analysis of cytological images of fine needle biopsies

Author keywords

Breast cancer; Classification; Computer aided diagnosis; Pattern analysis

Indexed keywords

BREAST CANCER; BREAST CANCER DIAGNOSIS; CIRCULAR HOUGH TRANSFORMS; DIAGNOSTIC PROCEDURE; FINE NEEDLE BIOPSY; MEDICAL DIAGNOSIS SYSTEM; PATTERN ANALYSIS; THRESHOLDING METHODS;

EID: 84890330111     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2275151     Document Type: Article
Times cited : (213)

References (49)
  • 2
    • 84872838440 scopus 로고    scopus 로고
    • Estimates of global cancer prevalence for 27 sites in the adult population in 2008
    • Jul.
    • F. Bray, J. Ren, E. Masuyer, and J. Ferlay, "Estimates of global cancer prevalence for 27 sites in the adult population in 2008," Int. J. Cancer, Jul. 2012.
    • (2012) Int. J. Cancer
    • Bray, F.1    Ren, J.2    Masuyer, E.3    Ferlay, J.4
  • 6
    • 77950255085 scopus 로고    scopus 로고
    • Texture analysis in perfusion images of prostate cancer-A case study
    • J. ?mieta?ski, R. Tadeusiewicz, and E. ?uczy?ska, "Texture analysis in perfusion images of prostate cancer-a case study," Int. J.Appl. Math. Comput. Sci., vol. 20, no. 1, pp. 149-156, 2010.
    • (2010) Int. J.Appl. Math. Comput. Sci. , vol.20 , Issue.1 , pp. 149-156
    • Mietaski, J.1    Tadeusiewicz, R.2    Uczyska, E.3
  • 8
    • 21244490106 scopus 로고    scopus 로고
    • A color object recognition scheme: Application to cellular sorting
    • DOI 10.1007/s00138-002-0120-z
    • O. Lezoray, A. Elmoataz, and H. Cardot, "A color object recognition scheme: Application to cellular sorting," Mach. Vis. Appl., vol. 14, no. 3, pp. 166-171, 2003. (Pubitemid 40890119)
    • (2003) Machine Vision and Applications , vol.14 , Issue.3 , pp. 166-171
    • Lezoray, O.1    Elmoataz, A.2    Cardot, H.3
  • 9
    • 79952464447 scopus 로고    scopus 로고
    • Automated detection of cell nuclei in Pap smear images using morphological reconstruction and clustering
    • Feb.
    • M. Plissiti, C. Nikou, and A. Charchanti, "Automated detection of cell nuclei in Pap smear images using morphological reconstruction and clustering," IEEE Trans. Inf. Technol. Biomed., vol. 15, no. 2, pp. 233-241, Feb. 2011.
    • (2011) IEEE Trans. Inf. Technol. Biomed. , vol.15 , Issue.2 , pp. 233-241
    • Plissiti, M.1    Nikou, C.2    Charchanti, A.3
  • 10
    • 41249086260 scopus 로고    scopus 로고
    • Classification of breast cancer malignancy using cytological images of fine needle aspiration biopsies
    • DOI 10.2478/v10006-008-0007-x, PII E8446X75R7225W45
    • L. Jele?, T. Fevens, and A. Krzy?ak, "Classification of breast cancer malignancy using cytological images of fine needle aspiration biopsies," Int. J. Appl. Math. Comput. Sci., vol. 18, no. 1, pp. 75-83, 2010. (Pubitemid 351444623)
    • (2008) International Journal of Applied Mathematics and Computer Science , vol.18 , Issue.1 , pp. 75-83
    • Jelen, L.1    Fevens, T.2    Krzyzak, A.3
  • 12
    • 62349140853 scopus 로고    scopus 로고
    • Automated breast cancer diagnosis based on GVF-Snake segmentation, wavelet features extraction and fuzzy classification
    • J. Malek, A. Sebri, S. Mabrouk, K. Torki, and R. Tourki, "Automated breast cancer diagnosis based on GVF-Snake segmentation, wavelet features extraction and fuzzy classification," J. Signal Process. Syst., vol. 55, pp. 49-66, 2009.
    • (2009) J. Signal Process. Syst. , vol.55 , pp. 49-66
    • Malek, J.1    Sebri, A.2    Mabrouk, S.3    Torki, K.4    Tourki, R.5
  • 15
    • 84862498320 scopus 로고    scopus 로고
    • Fuzzy clustering and adaptive thresholding based segmentation method for breast cancer diagnosis
    • M. W. Red, R. Burduk,M.Kurzy?ski, and A. ?o?nierek, Eds. Berlin, Germany: Springer-Verlag
    • P. Filipczuk, M. Kowal, and A. Obuchowicz, "Fuzzy clustering and adaptive thresholding based segmentation method for breast cancer diagnosis," in Computer Recognition Systems 4, ser. Advances in Intelligent and Soft Computing: 95, M. W. Red, R. Burduk,M.Kurzy?ski, and A. ?o?nierek, Eds. Berlin, Germany: Springer-Verlag, 2011, pp. 613-622.
    • (2011) Computer Recognition Systems 4, Ser. Advances in Intelligent and Soft Computing: 95 , pp. 613-622
    • Filipczuk, P.1    Kowal, M.2    Obuchowicz, A.3
  • 16
    • 84880775742 scopus 로고    scopus 로고
    • Computeraided diagnosis of breast cancer using Gaussian mixture cytological image segmentation
    • M. Kowal, P. Filipczuk, A. Obuchowicz, and J. Korbicz, "Computeraided diagnosis of breast cancer using Gaussian mixture cytological image segmentation," J. Med. Inf. Technol., vol. 17, pp. 257-262, 2011.
    • (2011) J. Med. Inf. Technol. , vol.17 , pp. 257-262
    • Kowal, M.1    Filipczuk, P.2    Obuchowicz, A.3    Korbicz, J.4
  • 17
    • 84862489479 scopus 로고    scopus 로고
    • Hybrid cytological image segmentation method based on competitive neural network and adaptive thresholding
    • M. Kowal, P. Filipczuk, and J. Korbicz, "Hybrid cytological image segmentation method based on competitive neural network and adaptive thresholding," Pomiary, Automatyka, Kontrola, vol. 57, no. 11, pp. 1448-1451, 2011.
    • (2011) Pomiary, Automatyka, Kontrola , vol.57 , Issue.11 , pp. 1448-1451
    • Kowal, M.1    Filipczuk, P.2    Korbicz, J.3
  • 18
    • 85032750965 scopus 로고    scopus 로고
    • Cell segmentation: 50 years down the road
    • May
    • E. Meijering, "Cell segmentation: 50 years down the road," IEEE Signal Process. Mag., vol. 29, no. 5, pp. 140-145, May 2012.
    • (2012) IEEE Signal Process. Mag. , vol.29 , Issue.5 , pp. 140-145
    • Meijering, E.1
  • 19
    • 77950245872 scopus 로고    scopus 로고
    • Improved automatic detection and segmentation of cell nuclei in histopathology images
    • Apr.
    • Y. Al-Kofahi, W. Lassoued, W. Lee, and B. Roysam, "Improved automatic detection and segmentation of cell nuclei in histopathology images," IEEE Trans. Biomed. Eng., vol. 57, no. 4, pp. 841-852, Apr. 2010.
    • (2010) IEEE Trans. Biomed. Eng. , vol.57 , Issue.4 , pp. 841-852
    • Al-Kofahi, Y.1    Lassoued, W.2    Lee, W.3    Roysam, B.4
  • 20
    • 84890491526 scopus 로고    scopus 로고
    • Automatic segmentation of overlapping nuclei with high background variation using robust estimation and flexible contour models
    • W. F. Clocksin, "Automatic segmentation of overlapping nuclei with high background variation using robust estimation and flexible contour models," in Proc. 12th Int. Conf. Image Anal. Process., 2003, pp. 682-687.
    • (2003) Proc. 12th Int. Conf. Image Anal. Process. , pp. 682-687
    • Clocksin, W.F.1
  • 21
    • 77957935090 scopus 로고    scopus 로고
    • Segmentation of overlapping/aggregating nuclei cells in biological images
    • Dec.
    • F. Cloppet and A. Boucher, "Segmentation of overlapping/aggregating nuclei cells in biological images," in Proc. IEEE Int. Conf. Pattern Recognit., Dec. 2008, pp. 1-4.
    • (2008) Proc. IEEE Int. Conf. Pattern Recognit. , pp. 1-4
    • Cloppet, F.1    Boucher, A.2
  • 22
    • 45849154219 scopus 로고    scopus 로고
    • Segmentation of breast cancer fine needle biopsy cytological images
    • M. Hrebie?, P. Ste?, A. Obuchowicz, and T. Nieczkowski, "Segmentation of breast cancer fine needle biopsy cytological images," Int. J. Appl. Math. Comput. Sci., vol. 18, no. 2, pp. 159-170, 2010.
    • (2010) Int. J. Appl. Math. Comput. Sci. , vol.18 , Issue.2 , pp. 159-170
    • Hrebie, M.1    Ste, P.2    Obuchowicz, A.3    Nieczkowski, T.4
  • 24
    • 84867839682 scopus 로고    scopus 로고
    • Overlapping cell nuclei segmentation using a spatially adaptive active physicalmodel
    • M. Plissiti and C. Nikou, "Overlapping cell nuclei segmentation using a spatially adaptive active physicalmodel," IEEE Trans. Image Process., vol. 21, no. 11, pp. 4568-4580, 2012.
    • (2012) IEEE Trans. Image Process. , vol.21 , Issue.11 , pp. 4568-4580
    • Plissiti, M.1    Nikou, C.2
  • 28
    • 0015285440 scopus 로고
    • Use of the Hough transformation to detect lines and curves in pictures
    • Jan.
    • R. Duda and P. Hart, "Use of the Hough transformation to detect lines and curves in pictures," Commun. ACM, vol. 15, no. 1, pp. 11-15, Jan. 1972.
    • (1972) Commun. ACM , vol.15 , Issue.1 , pp. 11-15
    • Duda, R.1    Hart, P.2
  • 30
    • 0029309681 scopus 로고
    • Probabilistic and nonprobabilistic Hough transforms: Overview and comparisons
    • H. Kälviäinen, P. Hirvonen, L. Xu, and E. Oja, "Probabilistic and nonprobabilistic Hough transforms: Overview and comparisons," Image Vis. Comput., vol. 13, no. 4, pp. 239-252, 1995.
    • (1995) Image Vis. Comput. , vol.13 , Issue.4 , pp. 239-252
    • Kälviäinen, H.1    Hirvonen, P.2    Xu, L.3    Oja, E.4
  • 31
    • 0019397313 scopus 로고
    • Generalizing the hough transform to detect arbitrary shapes
    • DOI 10.1016/0031-3203(81)90009-1
    • D. Ballard, "Generalizing the Hough transform to detect arbitrary shapes," Pattern Recognit., vol. 13, no. 2, pp. 111-122, 1981. (Pubitemid 11504608)
    • (1981) Pattern Recognition , vol.13 , Issue.2 , pp. 111-122
    • Ballard Dana, H.1
  • 32
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. Vapnik, "Support-vector networks," Mach. Learn., vol. 20, no. 3, pp. 273-297, 1995.
    • (1995) Mach. Learn. , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 33
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • Jan.
    • T. Cover and P. Hart, "Nearest neighbor pattern classification, " IEEE Trans. Inf. Theory, vol. 13, no. 1, pp. 21-27, Jan. 1967.
    • (1967) IEEE Trans. Inf. Theory , vol.13 , Issue.1 , pp. 21-27
    • Cover, T.1    Hart, P.2
  • 38
    • 0033640901 scopus 로고    scopus 로고
    • Comparison of algorithms that select features for pattern classifiers
    • DOI 10.1016/S0031-3203(99)00041-2
    • M. Kudo and J. Sklansky, "Comparison of algorithms that select features for pattern classifiers," Pattern Recognit., vol. 33, no. 1, pp. 25-41, 2000. (Pubitemid 32081876)
    • (2000) Pattern Recognition , vol.33 , Issue.1 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2
  • 40
    • 0037272440 scopus 로고    scopus 로고
    • A feature set for cytometry on digitized microscopic images
    • K. Rodenacker and E. Bengtsson, "A feature set for cytometry on digitized microscopic images," Anal. Cell. Pathol., vol. 25, no. 1, pp. 1-36, 2003. (Pubitemid 36188603)
    • (2003) Analytical Cellular Pathology , vol.25 , Issue.1 , pp. 1-36
    • Rodenacker, K.1    Bengtsson, E.2
  • 41
    • 84988296879 scopus 로고    scopus 로고
    • GLCM and GLRLM based texture features for computer-aided breast cancer diagnosis
    • P. Filipczuk, T. Fevens, A. Krzy?ak, and A. Obuchowicz, "GLCM and GLRLM based texture features for computer-aided breast cancer diagnosis," J. Med. Informat. Technol., vol. 19, pp. 109-115, 2012.
    • (2012) J. Med. Informat. Technol. , vol.19 , pp. 109-115
    • Filipczuk, P.1    Fevens, T.2    Krzyak, A.3    Obuchowicz, A.4
  • 43
    • 0001416258 scopus 로고
    • Texture analysis using grey level run lengths
    • M. Galloway, "Texture analysis using grey level run lengths," Comput. Graph. Image Process., vol. 4, pp. 172-179, 1975.
    • (1975) Comput. Graph. Image Process. , vol.4 , pp. 172-179
    • Galloway, M.1
  • 44
    • 0025585326 scopus 로고
    • Use of gray value distribution of run lengths for texture analysis
    • A. Chu, C. Sehgal, and J. Greenleaf, "Use of gray value distribution of run lengths for texture analysis," Pattern Recognit. Lett., vol. 11, no. 6, pp. 415-419, 1990.
    • (1990) Pattern Recognit. Lett. , vol.11 , Issue.6 , pp. 415-419
    • Chu, A.1    Sehgal, C.2    Greenleaf, J.3
  • 45
    • 0026276969 scopus 로고
    • Image characterizations based on joint gray level-run length distributions
    • B. Dasarathy and E. Holder, "Image characterizations based on joint gray level-run length distributions," Pattern Recognit. Lett., vol. 12, no. 8, pp. 497-502, 1991.
    • (1991) Pattern Recognit. Lett. , vol.12 , Issue.8 , pp. 497-502
    • Dasarathy, B.1    Holder, E.2
  • 47
    • 33745847104 scopus 로고    scopus 로고
    • Leave-one-out error and stability of learning algorithms with applications
    • A. Elisseeff and M. Pontil, "Leave-one-out error and stability of learning algorithms with applications," NATO Sci. Ser., III: Comput. Syst. Sci., vol. 190, pp. 111-130, 2003.
    • (2003) NATO Sci. Ser., III: Comput. Syst. Sci. , vol.190 , pp. 111-130
    • Elisseeff, A.1    Pontil, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.