Lung Cancer and Imaging

Contributions by Mr Ahmed Shaffie, Dr Ahmed Soliman, Dr Ali Mahmoud, Dr Adel Elmaghraby, Dr Fatma Taher, Mr Aryan Mobiny, Dr Supratik Kumar Moulik, Dr Naveen Garg, Dr Carol Wu, Dr Hien Van Nguyen, Professor Chung-Ming Lo, Assistant Professor/Dr Meng-Hua Tao, Ms. Saima Malik, Dr. Nosheen Masood, Iqra, Dr. Stefania Rizzo, Dr. Filippo Del Grande, Prof. Francesco Petrella, Ms Anine Crous, Prof Heidi Abrahamse, Ms Hongli Yu, Professor Weifen Zhang, Professor Wentong Li, Associate Professor Jinxiang Xi, Professor and Chair Xiuhua Si, Ms. May Phu Paing, Assoc. Prof. Dr. Chuchart Pintavirooj, Prof. Dr. Kazuhiko Hamamoto, Assoc. Prof. Dr. Supan Tungjitkusolmun, Lulu Wang, Dr. Mohammed Ghazal, Dr Hadil Abu Khalifeh Edited by Ayman El-Baz, Jasjit Suri

Publication date:

30 December 2019

Length of book:

232 pages

Publisher

Institute Of Physics Publishing

Dimensions:

254x178mm
7x10"

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.

Preface

Acknowledgement

Dedication

1. Early Diagnosis System for Lung Nodules Based on The Integration of Higher-Order MGRF Appearance Feature Model and 3DCNN Ahmed Shaffie, Ahmed Soliman, Ali Mahmoud, Hadil Abu Khalifeh, Fatma Taher, Mohammed Ghazal, Adel Elmaghraby, and Ayman El-Baz

2. Capsule Networks for Lung Cancer Screening Aryan 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 Cancer Meng-Hua Tao

5. Use of Biomarkers in Lung Cancer Diagnosis, Prognosis and Treatment Saima Shakil Malik, Nosheen Masood, Iqra

6. Deep Learning for Medical Image Processing: Bones and Soft Tissue Separation in Chest Radiographs Amin Zarshenas, Kenji Suzuki

7. Radiomics and Lung Cancer: Promising News for Early Detected Nodules Stefania Rizzo, Filippo Del Grande, Francesco Petrella

8. Photodynamic Diagnosis and Treatment of Lung Cancer Anine Crous, Heidi Abrahamse

9. Cold Atmospheric Plasma and Iron Oxide-Based Magnetic Nanoparticles for Synergetic Lung Cancer Therapy Hongli Yu, Wentong Li, Weifen Zhang

10. Exploiting Exhaled Aerosol Fingerprints to Detect Lung Cancers and Obstructive Respiratory Diseases Jinxiang Xi, Xiuhua April Si

11. A Study of Ground-Glass Opacity (GGO) Nodules in Automated Detection of Lung Cancer May Phu Paing, Chuchart Pintavirooj, Kazuhiko Hamamoto, Supan Tungjitkusolmun

12. Electromagnetic Imaging and Lung Ablation Lulu Wang