Literature DB >> 8109525

Computer vision and artificial intelligence in mammography.

C J Vyborny1, M L Giger.   

Abstract

The revolution in digital computer technology that has made possible new and sophisticated imaging techniques may next influence the interpretation of radiologic images. In mammography, computer vision and artificial intelligence techniques have been used successfully to detect or to characterize abnormalities on digital images. Radiologists supplied with this information often perform better at mammographic detection or characterization tasks in observer studies than do unaided radiologists. This technology therefore could decrease errors in mammographic interpretation that continue to plague human observers.

Entities:  

Mesh:

Year:  1994        PMID: 8109525     DOI: 10.2214/ajr.162.3.8109525

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  9 in total

Review 1.  An object-oriented taxonomy of medical data presentations.

Authors:  J Starren; S B Johnson
Journal:  J Am Med Inform Assoc       Date:  2000 Jan-Feb       Impact factor: 4.497

2.  Mammographic mass detection using a mass template.

Authors:  Serhat Ozekes; Onur Osman; A Yilmaz Camurcu
Journal:  Korean J Radiol       Date:  2005 Oct-Dec       Impact factor: 3.500

Review 3.  Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.

Authors:  Maryellen L Giger; Heang-Ping Chan; John Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

4.  External validation of AI algorithms in breast radiology: the last healthcare security checkpoint?

Authors:  Teodoro Martin-Noguerol; Antonio Luna
Journal:  Quant Imaging Med Surg       Date:  2021-06

5.  Advances in breast cancer detection with screening mammography.

Authors:  J L Champaign; G J Cederbom
Journal:  Ochsner J       Date:  2000-01

Review 6.  Teleradiology/telepathology requirements and implementation.

Authors:  S K Mun; A M Elsayed; W G Tohme; Y C Wu
Journal:  J Med Syst       Date:  1995-04       Impact factor: 4.460

Review 7.  Clinical use of digital mammography: the present and the prospects.

Authors:  R A Schmidt; R M Nishikawa
Journal:  J Digit Imaging       Date:  1995-02       Impact factor: 4.056

8.  Enhancing the fever workup utilizing a multi-technique modeling approach to diagnose infections more accurately.

Authors:  Adam M A Fadlalla; Joseph F Golob; Jeffrey A Claridge
Journal:  Surg Infect (Larchmt)       Date:  2010-07-28       Impact factor: 2.150

Review 9.  Clinical Artificial Intelligence Applications: Breast Imaging.

Authors:  Qiyuan Hu; Maryellen L Giger
Journal:  Radiol Clin North Am       Date:  2021-11       Impact factor: 1.947

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.