Artificial intelligence in radiology

Volume: 18, Issue: 8, Pages: 500 - 510
Published: May 17, 2018
Abstract
Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. Methods ranging from convolutional neural networks to variational autoencoders have found myriad applications in the medical image analysis field, propelling it forward at a rapid pace. Historically, in radiology practice, trained physicians visually assessed medical images for the detection, characterization and...
Paper Details
Title
Artificial intelligence in radiology
Published Date
May 17, 2018
Volume
18
Issue
8
Pages
500 - 510
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.