Image Processing Techniques for Tumor Detection PDF
Provides a current review of computer processing algorithms for the identification of lesions, abnormal masses, cancer, and disease in medical images. Presents useful examples from numerous imaging modalities for increased recognition of anomolies in MRI, CT, SPECT and digital/film X-Ray.
Nature of Image Processing Techniques for Tumor Detection
Image Processing Techniques for Tumor Detection PDF Ebook by Robin N. Strickland is one of the best books out there for the techniques which one can use to analyze or detect tumors of any kind. this is a must carry ebook on your phone for all those who work on or near anyone that experiences cancer patients or has a high frequency of those arriving to them.
Overall, this book, written by leading experts provides a comprehensive and up-to-date overview. Well written and contains many medical images and illustrative material of excellent quality.” European Radiology “All in all, the book is a true and valuable guide for medical practice, due to the up-to-date information based on scientific studies and on the wide practical experience of the authors of each chapter. It has a clear and concise language and provides numerous medical images, of the best quality, suggestive for each subject considered.
Table of Contents
Image Processing Techniques for tumor detection PDF Ebook includes the following Chapters:
- Tumor Imaging
- Evaluating detection algorithms
- Clinical Applications: Present and Future
- Statistical Decision Theory and Tumor Detection
- Display, Including Enhancement of Two-Dimensional Imaging
- Detection of Microcalcifications
- Evaluation of a Multiscale Enhancement Protocol for Digital Mammography
- Detection of Masses in Mammograms
- Region-Based Adaptive Contrast Enhancement
- Computerized Detection of Lung Nodules
- Lung: X-ray and CT
- Optimal Processing of Brain MRI
- Brain Tumor Imaging: Fusion of Scintigraphy with Magnetic Resonance and Computed Tomography
- Image Registration in the Thorax, Abdomen, and Pelvis
- File Size: 13 MBs
- 384 Pages
- English Language
- 4-Star Rating
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