Artificial Intelligence Strategies for Analyzing COVID-19 Pneumonia Lung Imaging, Volume 1
Characterization approaches| By: | Ayman El-Baz and Jasjit S Suri |
| Publisher: | Ingram Publisher Services UK- Academic |
| Print ISBN: | 9780750337939 |
| eText ISBN: | 1730750337953 |
| Edition: | 1 |
| Format: | Reflowable |
eBook Features
Instant Access
Purchase and read your book immediately
Read Offline
Access your eTextbook anytime and anywhere
Study Tools
Built-in study tools like highlights and more
Read Aloud
Listen and follow along as Bookshelf reads to you
Theutilization of AI strategies for diagnosis, follow-up, and treatments ofCOVID-19 patients is now becoming essential. This is the first comprehensivereference work published detailing the latest research and developments in theutilization of AI strategies in the diagnosis and treatment of COVID-19patients. The book references a wealth of data that has been collected onCOVID-19 particularly from an imaging standpoint, with the first section detailingaspects of the early assessment of lung functions in coronavirus patients, andthe second section relating to the incorporation of AI and Machine Learningparadigms. This book is important for academics, clinicians and scientistsworking in the domain of lung cancer, data-mining, machine learning, and deeplearning within the COVID-19 environment.
Key Features:
- Comprehensiveoverview of the implementation of artificial intelligence (AI) and machinelearning (ML) strategies to the diagnosis, follow on/follow-up, and treatmentsof COVID-19 patients.
- A number ofauthors/contributors are front-line researchers and clinicians in COVID-19patient affairs, representing the USA, India, UK, France and importantly China.
- Providesunique coverage of AI and Machine Learning in the prediction of blood-clottingin COVID-19 patients.
- Offersspecific examples of diagnosing COVID-19 with AI utilization within CT.
- Presentsextensive references at the end of each chapter to enhance further study.