BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 21277387)

  • 1. Mammogram retrieval through machine learning within BI-RADS standards.
    Wei CH; Li Y; Huang PJ
    J Biomed Inform; 2011 Aug; 44(4):607-14. PubMed ID: 21277387
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A similarity learning approach to content-based image retrieval: application to digital mammography.
    El-Naqa I; Yang Y; Galatsanos NP; Nishikawa RM; Wernick MN
    IEEE Trans Med Imaging; 2004 Oct; 23(10):1233-44. PubMed ID: 15493691
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Adaptive learning for relevance feedback: application to digital mammography.
    Oh JH; Yang Y; El Naqa I
    Med Phys; 2010 Aug; 37(8):4432-44. PubMed ID: 20879602
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms.
    Boumaraf S; Liu X; Ferkous C; Ma X
    Biomed Res Int; 2020; 2020():7695207. PubMed ID: 32462017
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Mammogram retrieval on similar mass lesions.
    Wei CH; Chen SY; Liu X
    Comput Methods Programs Biomed; 2012 Jun; 106(3):234-48. PubMed ID: 20933295
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Using relevance feedback to reduce the semantic gap in content-based image retrieval of mammographic masses.
    Rosa NA; Felipe JC; Traina AJ; Traina C; Rangayyan RM; Azevedo-Marques PM
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():406-9. PubMed ID: 19162679
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A similarity measure method combining location feature for mammogram retrieval.
    Wang Z; Xin J; Huang Y; Li C; Xu L; Li Y; Zhang H; Gu H; Qian W
    J Xray Sci Technol; 2018; 26(4):553-571. PubMed ID: 29865106
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Decision support system for breast cancer detection using mammograms.
    Ganesan K; Acharya RU; Chua CK; Min LC; Mathew B; Thomas AK
    Proc Inst Mech Eng H; 2013 Jul; 227(7):721-32. PubMed ID: 23636749
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy.
    Bedo MV; Pereira Dos Santos D; Ponciano-Silva M; de Azevedo-Marques PM; Ferreira de Carvalho AP; Traina C
    J Digit Imaging; 2016 Feb; 29(1):22-37. PubMed ID: 26259520
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Content-based retrieval of mammograms using visual features related to breast density patterns.
    Kinoshita SK; de Azevedo-Marques PM; Pereira RR; Rodrigues JA; Rangayyan RM
    J Digit Imaging; 2007 Jun; 20(2):172-90. PubMed ID: 17318705
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A boosting framework for visuality-preserving distance metric learning and its application to medical image retrieval.
    Yang L; Jin R; Mummert L; Sukthankar R; Goode A; Zheng B; Hoi SC; Satyanarayanan M
    IEEE Trans Pattern Anal Mach Intell; 2010 Jan; 32(1):30-44. PubMed ID: 19926897
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A similarity measure method fusing deep feature for mammogram retrieval.
    Wang Z; Xin J; Huang Y; Xu L; Ren J; Zhang H; Qian W; Zhang X; Liu J
    J Xray Sci Technol; 2020; 28(1):17-33. PubMed ID: 31868727
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrating relevance feedback techniques for image retrieval using reinforcement learning.
    Yin PY; Bhanu B; Chang KC; Dong A
    IEEE Trans Pattern Anal Mach Intell; 2005 Oct; 27(10):1536-51. PubMed ID: 16237990
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Relevance feedback using generalized Bayesian framework with region-based optimization learning.
    Hsu CT; Li CY
    IEEE Trans Image Process; 2005 Oct; 14(10):1617-31. PubMed ID: 16238066
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A support vector machine approach for detection of microcalcifications.
    El-Naqa I; Yang Y; Wernick MN; Galatsanos NP; Nishikawa RM
    IEEE Trans Med Imaging; 2002 Dec; 21(12):1552-63. PubMed ID: 12588039
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Determination of similarity measures for pairs of mass lesions on mammograms by use of BI-RADS lesion descriptors and image features.
    Muramatsu C; Li Q; Schmidt RA; Shiraishi J; Doi K
    Acad Radiol; 2009 Apr; 16(4):443-9. PubMed ID: 19268856
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Generating region proposals for histopathological whole slide image retrieval.
    Ma Y; Jiang Z; Zhang H; Xie F; Zheng Y; Shi H; Zhao Y; Shi J
    Comput Methods Programs Biomed; 2018 Jun; 159():1-10. PubMed ID: 29650303
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel approach for detection and classification of mammographic microcalcifications using wavelet analysis and extreme learning machine.
    Malar E; Kandaswamy A; Chakravarthy D; Giri Dharan A
    Comput Biol Med; 2012 Sep; 42(9):898-905. PubMed ID: 22871899
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computer-aided classification of BI-RADS category 3 breast lesions.
    Buchbinder SS; Leichter IS; Lederman RB; Novak B; Bamberger PN; Sklair-Levy M; Yarmish G; Fields SI
    Radiology; 2004 Mar; 230(3):820-3. PubMed ID: 14739315
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Breast cancer diagnosis in digitized mammograms using curvelet moments.
    Dhahbi S; Barhoumi W; Zagrouba E
    Comput Biol Med; 2015 Sep; 64():79-90. PubMed ID: 26151831
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.