Detection Systems in Lung Cancer and Imaging, Volume 1 - Softcover

Softcover

ISBN 10: 0750333561 ISBN 13: 9780750333566

Publisher: Institute of Physics Publishing, 2022

Synopsis

This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications of Computer aided diagnosis (CAD) relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer. Ideal for academics working in lung cancer, data-mining, machine learning, deep learning and reinforcement learning, as well as industry professionals working in the areas of healthcare, lung cancer imaging, machine learning, deep learning and reinforcement learning, this edited collection comprises an essential reference for researchers at the forefront of the field, and provides a high-level entry point for more advanced students.

Key Features:
• Unique focus on advance work in detection system and classification systems.
• An updated reference for lung cancer detection via imaging.
• Focus on progressive deep learning and machine learning applications for more effective
detection.

Edition details

• Publisher: Institute of Physics Publishing
• Publication date: 2022
• Language: English
• ISBN 10: 0750333561
• ISBN 13: 9780750333566
• Binding: Paperback
• Number of pages: 242
• Editor: El-Baz Ayman, Suri Jasjit S