http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
from first lung CT to clinical AI : the development of quantitative x-ray computed tomography of diffuse lung disease through the use of artificial intelligence
1 online resource : illustrations (chiefly color)
"Reflecting recent major advances in the field of artificial intelligence, Developing the Digital Lung, From First Lung CT to Clinical AI, by Dr. John Newell, is your go-to reference for all aspects of applied artificial intelligence in lung disease development, including application to clinical medicine. It provides a unique overview of the field, beginning with a review of the origins of artificial intelligence in the mid-1970s and progressing to its application to clinical medicine in the early 2020s. Organized based on the four stages of development, this practical, easy-to-use resource helps you effectively apply artificial intelligences to lung imaging"-- publisher's description.
Chapter 1: -- Introduction to Lung CT AI -- Chapter 2: Three-Dimensional (3D) Digital Images of the Lung Using X-ray Computed Tomography -- Chapter 3: X-ray CT Scanning Protocols for Lung CT AI Applications -- Chapter 4: Quantitative Assessment of Lung Nodule Size, Shape, and Malignant Potential Using Both Reactive and Limited-Memory Lung CT AI -- Chapter 5: Using Reactive Machine AI to Derive Quantitative Lung CT Metrics of COPD, ILD, and COVID-19 Pneumonia -- Chapter 6: Using Reactive Machine AI and Dynamic Changes in Lung Structure to Derive Functional Quantitative Lung CT Metrics of COPD, ILD, and Asthma -- Chapter 7: Using Limited Memory Lung CT AI to Derive Advanced Quantitative CT Lung Metrics of COPD, ILD, and COVID-19 Pneumonia -- Chapter 8: Lung CT AI Enables Advanced Computer Modeling of Lung Physiome Structure and Function -- Chapter 9: Adoption of Lung CT AI Into Clinical Medicine -- Index
[S.l.] : ELSEVIER - HEALTH SCIENCE, 2023