Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method

Volume: 1, Issue: 7, Pages: e353 - e362
Published: Nov 1, 2019
Abstract
BackgroundCurrent lung cancer screening guidelines use either mean diameter, volume, or density of the largest lung nodule on the previous CT scan or appearance of a new nodule to ascertain the timing of the next CT scan. We aimed to develop an accurate screening protocol by estimating the 3-year lung cancer risk after two screening CT scans using deep learning of radiologists' CT readings and other universally available clinical...
Paper Details
Title
Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method
Published Date
Nov 1, 2019
Volume
1
Issue
7
Pages
e353 - e362
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.