Application of Artificial Intelligence in Early Detection of Lung Cancer (eBook)

Amlan Chakrabarti, Sayan Das, Madhuchanda Kar, Jhilam Mukherjee (Autoren)

eBook Download: PDF | EPUB

2024 | 1. Auflage
450 Seiten
Elsevier Science (Verlag)
978-0-323-95246-0 (ISBN)

Infos

Dr. Madhuchanda Kar received her MD (Internal Medicine) and PhD (Cancer Research) degrees from University of Calcutta. She has almost 30 years of experience in medical education and research. In her career, nearly 80 articles have been published in different peer-reviewed medical and scientific journals. She is the recipient of various fellowship, e.g., Fellow of Indian College of Physicians, IMA Institute of Medical Sciences, Indian medical association, and Indian Association of Clinical Medicine. She was the chairperson of Board of Governors of Indian Institute of Science Education and Research. Presently, she is member of Board of Governors of Central University of Gaya. Her research interests have been focused on solid tumors, hematological malignancies, and interdisciplinary research linking cancer diagnosis and technology.

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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

Produkt-Details

• Erscheint lt. Verlag: 17.5.2024
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Medizinische Fachgebiete ► Innere Medizin ► Pneumologie
• Themenwelt: Medizin / Pharmazie ► Medizinische Fachgebiete ► Onkologie
• ISBN-10: 0-323-95246-1 / 0323952461
• ISBN-13: 978-0-323-95246-0 / 9780323952460