Characterizing subjects exposed to humidifier disinfectants using computed-tomography-based latent traits: a deep learning approach

HIGHLIGHTS

  • who: Frank Li and collaborators from the Roy JCarver Department of Biomedical, University of Iowa, Iowa City, IA, USA have published the research: Characterizing Subjects Exposed to Humidifier Disinfectants Using Computed-Tomography-Based Latent Traits: A Deep Learning Approach, in the Journal: (JOURNAL)
  • what: This study examined HD-exposed subjects with normal-appearing lungs as well as unexposed subjects in clusters (subgroups) with distinct characteristics classified by deep-learning-derived tissue pattern Among the major clusters cluster 0 (C0) and cluster 5 (C5) were dominated by HD-exposed and unexposed subjects respectively. The authors aimed . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?