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Volumn 26 III, Issue , 2004, Pages 1814-1817

Towards automated segmentation and classification of masses in digital mammograms

Author keywords

Cancer; Feature extraction; Image processing; Image segmentation; Medical expert systems; Object recognition

Indexed keywords

DATABASE SYSTEMS; EXPERT SYSTEMS; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE SEGMENTATION; OBJECT RECOGNITION; OPTIMIZATION; RADIOLOGY; TUMORS; WAVELET TRANSFORMS;

EID: 11144310148     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (15)
  • 4
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    • Texture feature extraction for tumor detection in mammographic images
    • M. Sameti, R. K. Ward, B. Palcic, and J. Morgan-Parkes, "Texture feature extraction for tumor detection in mammographic images", in Proc. PACRIM Conf., vol. 2, 1997 pp. 831-834.
    • (1997) Proc. PACRIM Conf. , vol.2 , pp. 831-834
    • Sameti, M.1    Ward, R.K.2    Palcic, B.3    Morgan-Parkes, J.4
  • 5
    • 0038377634 scopus 로고    scopus 로고
    • Finding breast cancer early
    • May/June
    • American Cancer Society, "Finding breast cancer early," CA Cancer J. Clin., vol. 53, pp. 170-171, May/June 2003.
    • (2003) CA Cancer J. Clin. , vol.53 , pp. 170-171
  • 7
    • 0033233283 scopus 로고    scopus 로고
    • Classifying mammographic mass shapes using the wavelet transform modulus-maxima method
    • Dec.
    • L. M. Bruce and R. R. Adhami, "Classifying mammographic mass shapes using the wavelet transform modulus-maxima method," IEEE Trans. Med. Image., vol. 18, pp. 1170-1177, Dec. 1999.
    • (1999) IEEE Trans. Med. Image. , vol.18 , pp. 1170-1177
    • Bruce, L.M.1    Adhami, R.R.2
  • 8
    • 84949481326 scopus 로고    scopus 로고
    • Automated mammogram classification using a multiresolution pattern recognition approach
    • C. B. R. Ferreira, D. L. Borges, "Automated mammogram classification using a multiresolution pattern recognition approach," Proc. Comp. Graphics and Image Process., 2001, pp. 76-83.
    • (2001) Proc. Comp. Graphics and Image Process. , pp. 76-83
    • Ferreira, C.B.R.1    Borges, D.L.2
  • 9
    • 0035544613 scopus 로고    scopus 로고
    • Computer-aided characterization of mammographic masses: Accuracy of mass segmentation and its efects on characterization
    • Dec.
    • B. Sahiner, N. Petrick, H. P. Chan, L. M. Hadjiiski, C. Paramagul, M. A. Helvie, and M. N. Gurcan, "Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its efects on characterization," IEEE Trans. Med. Imag., vol. 20, pp. 1275-1284, Dec. 2001.
    • (2001) IEEE Trans. Med. Imag. , vol.20 , pp. 1275-1284
    • Sahiner, B.1    Petrick, N.2    Chan, H.P.3    Hadjiiski, L.M.4    Paramagul, C.5    Helvie, M.A.6    Gurcan, M.N.7
  • 12
    • 0035369670 scopus 로고    scopus 로고
    • Multiresolution detection of spiculated lesions in digital mammograms
    • S. Liu, C. F. Babbs, and E. J. Delp, "Multiresolution detection of spiculated lesions in digital mammograms," IEEE Trans. Image Process., vol. 10, pp. 874-884, 2001.
    • (2001) IEEE Trans. Image Process. , vol.10 , pp. 874-884
    • Liu, S.1    Babbs, C.F.2    Delp, E.J.3
  • 13
    • 0003626435 scopus 로고    scopus 로고
    • Upper Saddle River, New Jersey: Prentice-Hall, ch. 3.2 and 3.3
    • Gonzalez, Rafael C. and Woods, Richard E., Digital Image Processing. Upper Saddle River, New Jersey: Prentice-Hall, 2002, ch. 3.2 and 3.3.
    • (2002) Digital Image Processing
    • Gonzalez Rafael, C.1    Woods, R.E.2
  • 14
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    • Texture based classification of mass abnormalities in mammograms
    • S. Baeg and N. Kehtarnavaz, "Texture based classification of mass abnormalities in mammograms," Proc. Symp. Comp.-Based Med. Sys., 2000, pp. 163-168.
    • (2000) Proc. Symp. Comp.-Based Med. Sys. , pp. 163-168
    • Baeg, S.1    Kehtarnavaz, N.2
  • 15
    • 0004255908 scopus 로고    scopus 로고
    • New York: WCB McGraw-Hill, ch. 8.2
    • Mitchell, Tom M., Machine Learning. New York: WCB McGraw-Hill, 1997, ch. 8.2.
    • (1997) Machine Learning
    • Mitchell, T.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.