
Detection Systems in Lung Cancer and Imaging, Volume 2
Institute of Physics Publishing
Will be published approx. on 31. December 2025
Book
Hardback
450 pages
978-0-7503-3357-3 (ISBN)
Description
This book covers recent advancements in lung cancer and imaging, covering detection and classification. This volume examines Lung Nodule Detection, Lung Nodule and Features Extraction, and Modern Approaches for Lung Nodule Diagnosis. Nodule detection focuses on algorithmic and deep learning practises, and their related CT imaging and dynamic programming methods. The classification applications of texture and shape analysis for nodules are covered, including computerised methods for more effective detection. Finally, the book examines the modern approaches used for nodule diagnosis. Specific focus is placed on deep learning for automated classification, machine learning for data analysis, and CT automatic detection of nodules.
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.
More details
Series
Language
English
Place of publication
Bristol
United Kingdom
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Illustrations
With figures in colour and black and white
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 16 mm
Weight
653 gr
ISBN-13
978-0-7503-3357-3 (9780750333573)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Ayman El-Baz | Jasjit Suri
Detection Systems in Lung Cancer and Imaging, Volume 2
E-Book
12/2025
Institute of Physics Publishing
€156.99
Available for download
Persons
Editor
University of Lousiville, USA
The American Institute for Medical and Biological Engineering, USA