BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 18777923)

  • 1. Automated breast mass detection in 3D reconstructed tomosynthesis volumes: a featureless approach.
    Singh S; Tourassi GD; Baker JA; Samei E; Lo JY
    Med Phys; 2008 Aug; 35(8):3626-36. PubMed ID: 18777923
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: a 3D approach.
    Sahiner B; Chan HP; Hadjiiski LM; Helvie MA; Wei J; Zhou C; Lu Y
    Med Phys; 2012 Jan; 39(1):28-39. PubMed ID: 22225272
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-domain features for reducing false positives in automated detection of clustered microcalcifications in digital breast tomosynthesis.
    Zhang F; Wu S; Zhang C; Chen Q; Yang X; Jiang K; Zheng J
    Med Phys; 2019 Mar; 46(3):1300-1308. PubMed ID: 30661242
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computer-aided detection of masses in digital tomosynthesis mammography: comparison of three approaches.
    Chan HP; Wei J; Zhang Y; Helvie MA; Moore RH; Sahiner B; Hadjiiski L; Kopans DB
    Med Phys; 2008 Sep; 35(9):4087-95. PubMed ID: 18841861
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Local Binary Patterns Descriptor Based on Sparse Curvelet Coefficients for False-Positive Reduction in Mammograms.
    Pawar MM; Talbar SN; Dudhane A
    J Healthc Eng; 2018; 2018():5940436. PubMed ID: 30356422
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computer aided detection of clusters of microcalcifications on full field digital mammograms.
    Ge J; Sahiner B; Hadjiiski LM; Chan HP; Wei J; Helvie MA; Zhou C
    Med Phys; 2006 Aug; 33(8):2975-88. PubMed ID: 16964876
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated detection of mass lesions in dedicated breast CT: a preliminary study.
    Reiser I; Nishikawa RM; Giger ML; Boone JM; Lindfors KK; Yang K
    Med Phys; 2012 Feb; 39(2):866-73. PubMed ID: 22320796
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis.
    Mazurowski MA; Lo JY; Harrawood BP; Tourassi GD
    J Biomed Inform; 2011 Oct; 44(5):815-23. PubMed ID: 21554985
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms.
    Zheng B; Gur D; Good WF; Hardesty LA
    Med Phys; 2004 Nov; 31(11):2964-72. PubMed ID: 15587648
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Matching breast masses depicted on different views a comparison of three methods.
    Zheng B; Tan J; Ganott MA; Chough DM; Gur D
    Acad Radiol; 2009 Nov; 16(11):1338-47. PubMed ID: 19632867
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Computer-assisted detection of mammographic masses: a template matching scheme based on mutual information.
    Tourassi GD; Vargas-Voracek R; Catarious DM; Floyd CE
    Med Phys; 2003 Aug; 30(8):2123-30. PubMed ID: 12945977
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computer-aided detection of breast masses on mammograms: dual system approach with two-view analysis.
    Wei J; Chan HP; Sahiner B; Zhou C; Hadjiiski LM; Roubidoux MA; Helvie MA
    Med Phys; 2009 Oct; 36(10):4451-60. PubMed ID: 19928076
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Dual system approach to computer-aided detection of breast masses on mammograms.
    Wei J; Chan HP; Sahiner B; Hadjiiski LM; Helvie MA; Roubidoux MA; Zhou C; Ge J
    Med Phys; 2006 Nov; 33(11):4157-68. PubMed ID: 17153394
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computer aided detection of masses in mammography using subregion Hotelling observers.
    Baydush AH; Catarious DM; Abbey CK; Floyd CE
    Med Phys; 2003 Jul; 30(7):1781-7. PubMed ID: 12906196
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A bilateral analysis scheme for false positive reduction in mammogram mass detection.
    Li Y; Chen H; Yang Y; Cheng L; Cao L
    Comput Biol Med; 2015 Feb; 57():84-95. PubMed ID: 25544726
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Developing breast lesion detection algorithms for digital breast tomosynthesis: Leveraging false positive findings.
    Hossain MB; Nishikawa RM; Lee J
    Med Phys; 2022 Dec; 49(12):7596-7608. PubMed ID: 35916103
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bilateral analysis based false positive reduction for computer-aided mass detection.
    Wu YT; Wei J; Hadjiiski LM; Sahiner B; Zhou C; Ge J; Shi J; Zhang Y; Chan HP
    Med Phys; 2007 Aug; 34(8):3334-44. PubMed ID: 17879797
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Assessment of performance and reliability of computer-aided detection scheme using content-based image retrieval approach and limited reference database.
    Wang XH; Park SC; Zheng B
    J Digit Imaging; 2011 Apr; 24(2):352-9. PubMed ID: 20204448
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.
    Samala RK; Chan HP; Hadjiiski L; Helvie MA; Wei J; Cha K
    Med Phys; 2016 Dec; 43(12):6654. PubMed ID: 27908154
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Towards optimized acquisition scheme for multiprojection correlation imaging of breast cancer.
    Chawla AS; Saunders RS; Singh S; Lo JY; Samei E
    Acad Radiol; 2009 Apr; 16(4):456-63. PubMed ID: 19268858
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.