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Volumn 15, Issue 1, 2015, Pages

Automatic detection of abnormalities in mammograms

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BREAST TUMOR; CALCINOSIS; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; FEMALE; HUMAN; MAMMOGRAPHY; PROCEDURES;

EID: 84946412275     PISSN: None     EISSN: 14712342     Source Type: Journal    
DOI: 10.1186/s12880-015-0094-8     Document Type: Article
Times cited : (16)

References (17)
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    • IRMA: Image Retrieval in Medical Applications. http://irma-project.org/index_en.php , Accessed 29 Oct 2015.
  • 3
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  • 4
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    • Digital Mammography, Home Page
    • University of South Florida, Digital Mammography, Home Page. http://marathon.csee.usf.edu/Mammography/Database.html , Accessed 29 Oct 2015.
  • 5
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    • Radiology Assistant
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    • Radiology Assistant. http://www.radiologyassistant.nl/en/p4793bfde0ed53. Accessed 29 Oct 2015.
    • (2015)
  • 8
    • 0032129156 scopus 로고    scopus 로고
    • Detection of microcalcifications in digital mammograms using wavelets
    • Wang TC, Karayiannis NB. Detection of microcalcifications in digital mammograms using wavelets. IEEE Trans Med Imaging. 1998; 17(4):498-509.
    • (1998) IEEE Trans Med Imaging , vol.17 , Issue.4 , pp. 498-509
    • Wang, T.C.1    Karayiannis, N.B.2
  • 9
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    • Segmentation and feature extraction for reliable classification of microcalcifications in digital mammograms
    • Wroblewska A, Boninski P, Przelaskowski A, Kazubek M. Segmentation and feature extraction for reliable classification of microcalcifications in digital mammograms. Opto-Electronics Rev. 2003; 11(3):227-35.
    • (2003) Opto-Electronics Rev , vol.11 , Issue.3 , pp. 227-235
    • Wroblewska, A.1    Boninski, P.2    Przelaskowski, A.3    Kazubek, M.4
  • 11
    • 0034111762 scopus 로고    scopus 로고
    • A digital density equalization technique to improve visualization of breast periphery in mammography
    • Stefanoyiannis AP, Costaridou L, Sakellaropoulos P, Panayiotakis G. A digital density equalization technique to improve visualization of breast periphery in mammography. Br J Radiol. 2000; 73(868):349-454.
    • (2000) Br J Radiol , vol.73 , Issue.868 , pp. 349-454
    • Stefanoyiannis, A.P.1    Costaridou, L.2    Sakellaropoulos, P.3    Panayiotakis, G.4
  • 12
    • 53049094780 scopus 로고    scopus 로고
    • Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques
    • Papadopoulos A, Fotiadis DI, Costaridou L. Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques. Comput Biol Med. 2008; 38(10):1045-55.
    • (2008) Comput Biol Med , vol.38 , Issue.10 , pp. 1045-1055
    • Papadopoulos, A.1    Fotiadis, D.I.2    Costaridou, L.3
  • 13
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    • Automated digital mammogram segmentation for detection of abnormal masses using Binary homogeneity enhancement algorithm
    • Maitra IK, Sanjay N, Bandyopadhyay S. Automated digital mammogram segmentation for detection of abnormal masses using Binary homogeneity enhancement algorithm. J Comput Sci Eng (IJCSE). 2011; 2(3):416-27.
    • (2011) J Comput Sci Eng (IJCSE) , vol.2 , Issue.3 , pp. 416-427
    • Maitra, I.K.1    Sanjay, N.2    Bandyopadhyay, S.3
  • 14
  • 15
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    • Boundary detection in medical images using edge following Algorithm based on intensity gradient and texture gradient features
    • Somkantha K, Theera-Umpon N, Auephanwiriyakul S. Boundary detection in medical images using edge following Algorithm based on intensity gradient and texture gradient features. IEEE Trans Biomed Eng. 2011; 58(3):567-73.
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    • Microcalcification detection in mammography using wavelet transform and statistical parameters: National Applied and Computational Mathematics Congress (CNMAC)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.