Artificial intelligence strategies for analyzing COVID-19 pneumonia lung imaging. Volume 1, Characterization approaches /

The utilization of AI strategies for diagnosis, follow-up, and treatments of COVID-19 patients is now becoming essential. This is the first comprehensive reference work published detailing the latest research and developments in the utilization of AI strategies in the diagnosis and treatment of COVI...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: El-Baz, Ayman S. (Editor ), Suri, Jasjit S. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]
Colección:IOP (Series). Release 22.
IOP ebooks. 2022 collection.
Temas:
COVID-19 (Disease) > Patients > Treatment.
Viral pneumonia.
Lungs > Diseases > Imaging.
Artificial intelligence > Medical applications.
COVID-19 > therapy.
Pneumonia, Viral.
Lung > diagnostic imaging.
Artificial Intelligence.
Medicine.
Medical physics and biophysics.
Acceso en línea:Texto completo
Descripción
Sumario:The utilization of AI strategies for diagnosis, follow-up, and treatments of COVID-19 patients is now becoming essential. This is the first comprehensive reference work published detailing the latest research and developments in the utilization of AI strategies in the diagnosis and treatment of COVID-19 patients.
Notas:"Version: 20220401"--Title page verso.
Descripción Física:1 online resource (various pagings) : illustrations (some color).
Also available in print.
Público:Academics, clinicians and scientists working in the domain of lung cancer, data-mining, machine learning, deep learning within the COVID-19 environment.
Bibliografía:Includes bibliographical references.
ISBN:9780750337953
9780750337946

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