Artificial intelligence strategies for analyzing COVID-19 pneumonia lung imaging.

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

Artificial intelligence strategies for analyzing COVID-19 pneumonia lung imaging.

Institute of Physics (Great Britain), - Personal Name; Suri, Jasjit S., - Personal Name; El-Baz, Ayman S., - Personal Name;

"Version: 20220401"--Title page verso.Includes bibliographical references.1. Applying deep learning and emerging technologies in combating COVID-19 / Adedoyin A. Hussain and Barakat A. Dawood -- 2. Detecting COVID-19 in chest radiographs using machine learning and convolutional neural networks / Andrew C. Li, David T. Lee, Kristoff K. Misquitta, Kaiji Uno and Sasha Wald -- 3. Inf-Net : an automatic lung infection segmentation network that uses CT images / Tao Zhou, Dengping Fan, Gepeng Ji, Geng Chen, Huazhu Fu and Ling Shao -- 4. A comprehensive review of radiology smartphone applications / Mohammad (Behdad) Jamshidi, Mohammad Heydari, Jakub Talla, Zden?eek Peroutka, Maryam Ahmadi, Esmaeil Mehraeen, Hamid Abdollahi and Amirali Karimi -- 5. A hybrid deep learning method with attention for COVID-19 spread forecasting / Abdelkader Dairi, Fouzi Harrou, Ying Sun and Sofiane Khadraoui -- 6. A residual network-based deep learning model for the detection of COVID-19 using cough sounds / Annesya Banerjee and Achal Nilhani -- 7. Rapid and accurate AI-based diagnosis to distinguish COVID-19 from eight other lung respiratory diseases / Mugahed A. Al-Antari, Cam-Hao Hua and Sungyoung Lee -- 8. Diagnosis of COVID-19 by feature selection techniques using support vector machine / Amira M. Hasan, Hala M. Abd El-Kader and Aya Hossam -- 9. Post-analysis of COVID-19 pneumonia based on chest CT images using AI algorithms : a clinical point of view / M. Parimala Devi, G. Boopathi Raja, T. Sathya and V. Gowrishankar -- 10. Lung CT scans for the management of COVID-19 pneumonitis and the diagnosis of COVID-19 / Lakshna Mahajan, Nitin K Puri and Mukesh Kumar -- 11. Applications of machine learning in the COVID-19 pandemic : a scoping review / M.A. Jabbar, Syed Saba Raoof and Sonia Sharma.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.Academics, clinicians and scientists working in the domain of lung cancer, data-mining, machine learning, deep learning within the COVID-19 environment.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Ayman El-Baz is a Distinguished Professor at University of Louisville, Kentucky, United States and University of Louisville at AlAlamein International University (UofL-AIU), New Alamein City, Egypt. Jasjit S. Suri is an innovator, scientist, visionary, industrialist and an internationally known world leader in biomedical engineering. Dr Suri has spent over 25 years in the field of biomedical engineering/devices and its management.Title from PDF title page (viewed on May 8, 2022).

Availability

No copy data

Detail Information

Series Title: -
Call Number: -
Publisher: : .,
Collation: 1 online resource (various pagings) :illustrations (some color).
Language: English
ISBN/ISSN: 9780750337953
Classification: 616.2/4140285
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): Medical physics and biophysics.
Artificial intelligence
Artificial Intelligence.
Lungs
Medicine.
COVID-19 (Disease)
Viral pneumonia.
COVID-19
Pneumonia, Viral.
Lung
Specific Detail Info: -
Statement of Responsibility: edited by Ayman El-Baz, Jasjit S. Suri.

Other version/related

No other version available

File Attachment

No Data

Comments

You must be logged in to post a comment