Application of Artificial Intelligence in Early Detection of Lung Cancer

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Academic Press


Paru le : 2024-05-10

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Description

Application of Artificial Intelligence in Early Detection of Lung Cancer presents the most up-to-date computer-aided diagnosis techniques used to effectively predict and diagnose lung cancer. The presence of pulmonary nodules on lung parenchyma is often considered an early sign of lung cancer, thus using machine and deep learning technologies to identify them is key to improve patients’ outcome and decrease the lethal rate of such disease. The book discusses topics such as basics of lung cancer imaging, pattern recognition techniques, deep learning, and nodule detection and localization. In addition, the book discusses risk prediction based on radiological analysis and 3D modeling. This is a valuable resource for cancer researchers, oncologists, graduate students, radiologists, and members of biomedical field who are interested in the potential of AI technologies in the diagnosis of lung cancer.Provides an overview of the latest developments of artificial intelligence technologies applied to the detection of pulmonary nodulesDiscusses the different technologies available and guides readers step-by-step to the most applicable one for the specific lung cancer typeDescribes the entire study design on prediction of lung cancer to help readers apply it to their research successfully

Elsevier Science & Technology
Pages
450 pages
Collection
n.c
Parution
2024-05-10
Marque
Academic Press
EAN papier
9780323952453
EAN PDF
9780323952460

Informations sur l'ebook
Nombre pages copiables
45
Nombre pages imprimables
45
Taille du fichier
4127 Ko
Prix
151,92 €
EAN EPUB SANS DRM
9780323952460

Informations sur l'ebook
Prix
151,92 €

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