Application of Artificial Intelligence in Early Detection of Lung Cancer

This book PDF is perfect for those who love Computers genre, written by Amlan Chakrabarti and published by Academic Press which was released on 01 April 2023 with total hardcover pages 0. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Application of Artificial Intelligence in Early Detection of Lung Cancer books below.

Application of Artificial Intelligence in Early Detection of Lung Cancer
Author : Amlan Chakrabarti
File Size : 48,8 Mb
Publisher : Academic Press
Language : English
Release Date : 01 April 2023
ISBN : 0323952453
Pages : 0 pages
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Application of Artificial Intelligence in Early Detection of Lung Cancer by Amlan Chakrabarti Book PDF Summary

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 as the 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, it discusses risk prediction based on radiological analysis and 3D modeling. It 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.

Application of Artificial Intelligence in Early Detection of Lung Cancer

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 as the early sign of lung cancer, thus using machine and deep learning technologies

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