Deep Learning for Covid Image Analysis

Deep Learning for COVID Image Analysis provides a comprehensive overview of the most recently developed deep learning-based systems and solutions for COVID-19 image analysis, assembling a collection of state-of-the-art works for detection, severity analysis and predictive analysis, all of which are tools that support handling of the disease. The extraordinarily rapid spread of this pandemic has demonstrated that a new disease entity with a subset of relatively unique characteristics can pose a major new clinical challenge that requires new diagnostic tools in imaging.
The AI/Deep Learning Imaging community has shown in many recent publications that rapidly developed AI-based automated CT and Xray image analysis tools can achieve high accuracy in the detection of Coronavirus positive patients as well as quantifying the disease burden.

Product details

• Assisted by: Hayit Greenspan (Editor), S Kevin Zhou (Editor), S. Kevin Zhou (Editor)
• Publisher: Elsevier
• Languages: English
• Product format: Paperback / Softback
• Released: 01.10.2021
• EAN: 9780323901079
• ISBN: 978-0-323-90107-9
• No. of pages: 350
• Series: The Miccai Society Book
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT