These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

1165 related items for PubMed ID: 29428071

  • 1. Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.
    Bandeira Diniz JO, Bandeira Diniz PH, Azevedo Valente TL, Corrêa Silva A, de Paiva AC, Gattass M.
    Comput Methods Programs Biomed; 2018 Mar; 156():191-207. PubMed ID: 29428071
    [Abstract] [Full Text] [Related]

  • 2. Deep Convolutional Neural Networks for breast cancer screening.
    Chougrad H, Zouaki H, Alheyane O.
    Comput Methods Programs Biomed; 2018 Apr; 157():19-30. PubMed ID: 29477427
    [Abstract] [Full Text] [Related]

  • 3. 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 Apr; 2018():5940436. PubMed ID: 30356422
    [Abstract] [Full Text] [Related]

  • 4.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6. Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.
    Al-Masni MA, Al-Antari MA, Park JM, Gi G, Kim TY, Rivera P, Valarezo E, Choi MT, Han SM, Kim TS.
    Comput Methods Programs Biomed; 2018 Apr; 157():85-94. PubMed ID: 29477437
    [Abstract] [Full Text] [Related]

  • 7.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 8.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 9. Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network.
    Diniz PHB, Valente TLA, Diniz JOB, Silva AC, Gattass M, Ventura N, Muniz BC, Gasparetto EL.
    Comput Methods Programs Biomed; 2018 Dec; 167():49-63. PubMed ID: 29706405
    [Abstract] [Full Text] [Related]

  • 10. Radiomics based detection and characterization of suspicious lesions on full field digital mammograms.
    Sapate SG, Mahajan A, Talbar SN, Sable N, Desai S, Thakur M.
    Comput Methods Programs Biomed; 2018 Sep; 163():1-20. PubMed ID: 30119844
    [Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 12.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 13. Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.
    Yan S, Wang Y, Aghaei F, Qiu Y, Zheng B.
    Int J Comput Assist Radiol Surg; 2017 Oct; 12(10):1819-1828. PubMed ID: 28726117
    [Abstract] [Full Text] [Related]

  • 14. Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM.
    Soares Sérvulo de Oliveira F, Oseas de Carvalho Filho A, Corrêa Silva A, Cardoso de Paiva A, Gattass M.
    Comput Biol Med; 2015 Feb; 57():42-53. PubMed ID: 25528696
    [Abstract] [Full Text] [Related]

  • 15. New one-step model of breast tumor locating based on deep learning.
    Tao C, Chen K, Han L, Peng Y, Li C, Hua Z, Lin J.
    J Xray Sci Technol; 2019 Feb; 27(5):839-856. PubMed ID: 31306148
    [Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17. Detection of masses in mammogram images using CNN, geostatistic functions and SVM.
    Sampaio WB, Diniz EM, Silva AC, de Paiva AC, Gattass M.
    Comput Biol Med; 2011 Aug; 41(8):653-64. PubMed ID: 21703605
    [Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 59.