Overview

Lung cancer is one of the most common cancers in men and women worldwide. Early diagnosis of lung cancer can significantly increase the chances of a patient’s survival, yet early detection has historically been difficult. As a result, there has been a great deal of progress in the development of accurate and fast diagnostic tools in recent years. Lung Cancer and Imaging provides an introduction to the methods currently used in lung cancer diagnosis and the promising new techniques that are emerging. Areas covered include the major trends and challenges in lung cancer detection and diagnosis, classification of cancer types, lung feature extraction in joint PET/CT images, and algorithms in the area of low dosage CT lung cancer images.

Full Product Details

Author:   Ayman El-Baz (University of Lousiville, USA) ,  Jasjit Suri (The American Institute for Medical and Biological Engineering, USA) ,  Mr Ahmed Shaffie (University of Louisville (United States)) ,  Dr Ahmed Soliman (University of Louisville (United States))
Publisher:   Institute of Physics Publishing
Imprint:   Institute of Physics Publishing
Dimensions:   Width: 17.80cm , Height: 1.40cm , Length: 25.40cm
Weight:   0.623kg
ISBN:  

9780750325387

ISBN 10:   0750325380
Pages:   232
Publication Date:   30 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Preface Acknowledgement Dedication 1. Early Diagnosis System for Lung Nodules Based on The Integration of Higher-Order MGRF Appearance Feature Model and 3DCNNAhmed Shaffie, Ahmed Soliman, Ali Mahmoud, Hadil Abu Khalifeh, Fatma Taher, Mohammed Ghazal, Adel Elmaghraby, and Ayman El-Baz 2. Capsule Networks for Lung Cancer ScreeningAryan Mobiny, Supratik Moulik, Naveen Garg, Carol C. Wu, and Hien V. Nguyen 3. Quantitative Malignancy Recognition of Lung Cancer Using Non-Invasive Image Modalities Chung-Ming Lo 4. Epidemiology of Lung CancerMeng-Hua Tao 5. Use of Biomarkers in Lung Cancer Diagnosis, Prognosis and TreatmentSaima Shakil Malik, Nosheen Masood, Iqra 6. Deep Learning for Medical Image Processing: Bones and Soft Tissue Separation in Chest RadiographsAmin Zarshenas, Kenji Suzuki 7. Radiomics and Lung Cancer: Promising News for Early Detected NodulesStefania Rizzo, Filippo Del Grande, Francesco Petrella 8. Photodynamic Diagnosis and Treatment of Lung CancerAnine Crous, Heidi Abrahamse 9. Cold Atmospheric Plasma and Iron Oxide-Based Magnetic Nanoparticles for Synergetic Lung Cancer TherapyHongli Yu, Wentong Li, Weifen Zhang 10. Exploiting Exhaled Aerosol Fingerprints to Detect Lung Cancers and Obstructive Respiratory DiseasesJinxiang Xi, Xiuhua April Si 11. A Study of Ground-Glass Opacity (GGO) Nodules in Automated Detection of Lung CancerMay Phu Paing, Chuchart Pintavirooj, Kazuhiko Hamamoto, Supan Tungjitkusolmun 12. Electromagnetic Imaging and Lung AblationLulu Wang

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Author Information

Ayman El-Baz is a professor, university scholar, and the chair of the Bioengineering Department at the University of Louisville, Kentucky. El-Baz has 17 years of hands-on experience in the fields of bioimaging modeling and non-invasive computer-assisted diagnosis systems. In 2009, he was named a Coulter Fellow for his contributions to the field of biomedical translational research. He has authored or co-authored more than 500 technical articles across journals, books, book chapters, conference papers, abstracts, and US patents and disclosures. Jasjit S Suri is an innovator, scientist, industrialist and an internationally known world leader in biomedical engineering. He has spent more than 25 years in the field of biomedical engineering/devices. In 2018, he was awarded the Marquis Lifetime Achievement Award for his outstanding contributions and dedication to medical imaging and its management.

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