Lung Imaging and Computer Aided Diagnosis
eBook - ePub

Lung Imaging and Computer Aided Diagnosis

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Lung Imaging and Computer Aided Diagnosis

About this book

Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis can improve the effectiveness of treatment and increase a patient's chances of survival. Thus, there is an urgent need for new technology to diagnose small, malignant lung nodules early as well as large nodules located away from large diameter airways because

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Yes, you can access Lung Imaging and Computer Aided Diagnosis by Ayman El-Baz,Jasjit S. Suri in PDF and/or ePUB format, as well as other popular books in Medicine & Clinical Medicine. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2016
eBook ISBN
9781040199343
Topic
Medicine
Subtopic
Clinical Medicine

Table of contents

  1. Cover
  2. Halftitle Page
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Editors
  7. Contributors
  8. 1 A Novel Three-Dimensional Framework for Automatic Lung Segmentation from Low-Dose Computed Tomography Images
  9. 2 Incremental Engineering of Lung Segmentation Systems
  10. 3 3D MGRF-Based Appearance Modeling for Robust Segmentation of Pulmonary Nodules in 3D LDCT Chest Images
  11. 4 Ground-Glass Nodule Characterization in High-Resolution Computed Tomography Scans
  12. 5 Four-Dimensional Computed Tomography Lung Registration Methods
  13. 6 Pulmonary Kinematics via Registration of Serial Lung Images
  14. 7 Acquisition and Automated Analysis of Normal and Pathological Lungs in Small Animals Using Microcomputed Tomography
  15. 8 Airway Segmentation and Analysis from Computed Tomography
  16. 9 Pulmonary Vessel Segmentation for Multislice CT Data: Methods and Applications
  17. 10 A Novel Level Set-Based Computer-Aided Detection System for Automatic Detection of Lung Nodules in Low-Dose Chest Computed Tomography Scans
  18. 11 Model-Based Methods for Detection of Pulmonary Nodules
  19. 12 Concept and Practice of Genetic Algorithm Template Matching and Higher Order Local Autocorrelation Schemes in Automated Detection of Lung Nodules
  20. 13 Computer-Aided Detection of Lung Nodules in Chest Radiographs and Thoracic CT
  21. 14 Lung Nodule and Tumor Detection and Segmentation
  22. 15 Texture Classification in Pulmonary CT
  23. 16 Computer-Aided Assessment and Stenting of Tracheal Stenosis
  24. 17 Appearance Analysis for the Early Assessment of Detected Lung Nodules
  25. 18 Validation of a New Image-Based Approach for the Accurate Estimating of the Growth Rate of Detected Lung Nodules Using Real Computed Tomography Images and Elastic Phantoms Generated by State-of-the-Art Microfluidics Technology
  26. 19 Three-Dimensional Shape Analysis Using Spherical Harmonics for Early Assessment of Detected Lung Nodules
  27. 20 Review on Computer-Aided Detection, Diagnosis, and Characterization of Pulmonary Nodules: A Clinical Perspective