Image-Processing Techniques for Tumor Detection

by Robin N. Strickland (Editor)

Overview

"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."

Product Details

ISBN-13:	9781135551407
Publisher:	CRC Press
Publication date:	04/24/2002
Sold by:	Barnes & Noble
Format:	eBook
Pages:	384
File size:	6 MB

About the Author

Robin N. Strickland

Table of Contents

Background. Applications: breast - X-ray mammography; chest - X-ray and CT; brain and body - MRI, CT, SPECT, and ultrasound.

Editorial Reviews

Summarizes the state of the art in image processing methods for identifying tumors in medical images. The 14 chapters present computer algorithms for detecting abnormalities and enhancing images, and survey current tumor detection techniques in mammography, chest X-ray, MRI imaging, and nuclear medicine. Topics include statistical decision theory, evaluation of a multiscale enhancement protocol for digital mammography, region-based adaptive contrast enhancement, computerized detection of lung nodules, and optimal processing of brain MRI. Black and white medical images support the text. Annotation c. Book News, Inc., Portland, OR (booknews.com)

"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 best quality, suggestive for each subject considered."
- Memoriile Sectiilor Stiintifice, Vol. 4, No. 26, 2003

From the Publisher