BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 24506622)

  • 21. 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]  

  • 22. 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]  

  • 23. Quantitative comparison of clustered microcalcifications in for-presentation and for-processing mammograms in full-field digital mammography.
    Wang J; Nishikawa RM; Yang Y
    Med Phys; 2017 Jul; 44(7):3726-3738. PubMed ID: 28477395
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis.
    Zhang Y; Chan HP; Sahiner B; Wei J; Goodsitt MM; Hadjiiski LM; Ge J; Zhou C
    Med Phys; 2006 Oct; 33(10):3781-95. PubMed ID: 17089843
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Characterization of masses in digital breast tomosynthesis: comparison of machine learning in projection views and reconstructed slices.
    Chan HP; Wu YT; Sahiner B; Wei J; Helvie MA; Zhang Y; Moore RH; Kopans DB; Hadjiiski L; Way T
    Med Phys; 2010 Jul; 37(7):3576-86. PubMed ID: 20831065
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Task-based performance analysis of FBP, SART and ML for digital breast tomosynthesis using signal CNR and Channelised Hotelling Observers.
    Van de Sompel D; Brady SM; Boone J
    Med Image Anal; 2011 Feb; 15(1):53-70. PubMed ID: 20713313
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Microcalcification detection in full-field digital mammograms: A fully automated computer-aided system.
    Basile TMA; Fanizzi A; Losurdo L; Bellotti R; Bottigli U; Dentamaro R; Didonna V; Fausto A; Massafra R; Moschetta M; Tamborra P; Tangaro S; La Forgia D
    Phys Med; 2019 Aug; 64():1-9. PubMed ID: 31515007
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparison of the Detection Rate of Simulated Microcalcifications in Full-Field Digital Mammography, Digital Breast Tomosynthesis, and Synthetically Reconstructed 2-Dimensional Images Performed With 2 Different Digital X-ray Mammography Systems.
    Peters S; Hellmich M; Stork A; Kemper J; Grinstein O; PĆ¼sken M; Stahlhut L; Kinner S; Maintz D; Krug KB
    Invest Radiol; 2017 Apr; 52(4):206-215. PubMed ID: 27861206
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Segmented separable footprint projector for digital breast tomosynthesis and its application for subpixel reconstruction.
    Zheng J; Fessler JA; Chan HP
    Med Phys; 2017 Mar; 44(3):986-1001. PubMed ID: 28058719
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Locally adaptive decision in detection of clustered microcalcifications in mammograms.
    Sainz de Cea MV; Nishikawa RM; Yang Y
    Phys Med Biol; 2018 Feb; 63(4):045014. PubMed ID: 29364138
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Joint two-view information for computerized detection of microcalcifications on mammograms.
    Sahiner B; Chan HP; Hadjiiski LM; Helvie MA; Paramagul C; Ge J; Wei J; Zhou C
    Med Phys; 2006 Jul; 33(7):2574-85. PubMed ID: 16898462
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Computer-aided detection of mass in digital breast tomosynthesis using a faster region-based convolutional neural network.
    Fan M; Li Y; Zheng S; Peng W; Tang W; Li L
    Methods; 2019 Aug; 166():103-111. PubMed ID: 30771490
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Synthesizing mammogram from digital breast tomosynthesis.
    Wei J; Chan HP; Helvie MA; Roubidoux MA; Neal CH; Lu Y; Hadjiiski LM; Zhou C
    Phys Med Biol; 2019 Feb; 64(4):045011. PubMed ID: 30625429
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Quantitative assessment of microcalcification cluster image quality in digital breast tomosynthesis, 2-dimensional and synthetic mammography.
    Petropoulos AE; Skiadopoulos SG; Karahaliou AN; Messaris GAT; Arikidis NS; Costaridou LI
    Med Biol Eng Comput; 2020 Jan; 58(1):187-209. PubMed ID: 31813091
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Evaluation of reconstruction algorithms for a stationary digital breast tomosynthesis system using a carbon nanotube X-ray source array.
    Hu Z; Chen Z; Zhou C; Hong X; Chen J; Zhang Q; Jiang C; Ge Y; Yang Y; Liu X; Zheng H; Li Z; Liang D
    J Xray Sci Technol; 2020; 28(6):1157-1169. PubMed ID: 32925159
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Combination of one-view digital breast tomosynthesis with one-view digital mammography versus standard two-view digital mammography: per lesion analysis.
    Gennaro G; Hendrick RE; Toledano A; Paquelet JR; Bezzon E; Chersevani R; di Maggio C; La Grassa M; Pescarini L; Polico I; Proietti A; Baldan E; Pomerri F; Muzzio PC
    Eur Radiol; 2013 Aug; 23(8):2087-94. PubMed ID: 23620367
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Detection of microcalcification clusters using Hessian matrix and foveal segmentation method on multiscale analysis in digital mammograms.
    Thangaraju B; Vennila I; Chinnasamy G
    J Digit Imaging; 2012 Oct; 25(5):607-19. PubMed ID: 22581343
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Penalized maximum likelihood reconstruction for improved microcalcification detection in breast tomosynthesis.
    Das M; Gifford HC; O'Connor JM; Glick SJ
    IEEE Trans Med Imaging; 2011 Apr; 30(4):904-14. PubMed ID: 21041158
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Architectural distortion detection based on superior-inferior directional context and anatomic prior knowledge in digital breast tomosynthesis.
    Li Y; He Z; Ma X; Zeng W; Liu J; Xu W; Xu Z; Wang S; Wen C; Zeng H; Wu J; Chen W; Lu Y
    Med Phys; 2022 Jun; 49(6):3749-3768. PubMed ID: 35338787
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.