Lung Imaging and CADx

Description

Content: Preface, Acknowledgement, Dedication. Chapter 1. Computer Aided Diagnosis of COPD Using Accurate Lung Air Volume Estimation Using CT, Chapter 2. Early detection of COPD: Influence on Lung Cancer Epidemiology, Chapter 3. Dual Energy Computed Tomography for Lung Cancer Diagnosis and Characterisation, Chapter 4. X-Ray Dark-Field Imaging of Lung Cancer in Mice, Chapter 5. Lung Cancer Screening Using Low Dose Computed Tomography, Chapter 6. Computer-aided diagnosis of lung nodules: systems for estimation of lung cancer probability and false positive reduction of lung nodule, Chapter 7. Automated Lung Cancer Detection From PET/CT Images Using Texture and Fractal Descriptors,Chapter 8. Lung cancer risk of population exposed to airborne particles: the contribution of different activities and micro-environments, Chapter 9. Lung Nodule Classification based on the Integration of Higher-Order MGRF Appearance Model and Geometric Features,Chapter 10. Smoking cessation and lung cancer screening programs: The rationale and method to integration,Chapter 11. Automatic Lung Segmentation and Inter-observer Variability Analysis, Chapter 12. Classification of Diseased Lungs using Combination of Riesz and Gabor transforms with Machine Learning, Chapter 13. An Unsupervised Parametric Mixture Model for Automatic Three Dimensional Lung Segmentation, Chapter 14. How Deep Learning is Changing the Landscape of Lung Cancer Diagnosis?,Chapter 15. Early Assessment of Radiation Induced Lung Injury