"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."
Image-Processing Techniques for Tumor Detection
β Scribed by Robin N. Strickland
- Publisher
- CRC Press
- Year
- 2002
- Tongue
- English
- Leaves
- 412
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Univ. of Arizona, Tucson. Provides a current review of computer processing algorithms for the identification of lesions, abnormal masses, cancer, and disease in medical images. Presents examples from numerous imaging modalities for better recognition of anomalies in MRI, CT, SPECT, and digital/film
This book describes the signal, image and video processing methods and techniques for fire detection and provides a thorough and practical overview of this important subject, as a number of new methods are emerging.<br /><br />This book will serve as a reference for signal processing and computer vi
<p>This book describes the signal, image and video processing methods and techniques for fire detection and provides a thorough and practical overview of this important subject, as a number of new methods are emerging.</p><p>This book will serve as a reference for signal processing and computer visi
Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal p
<STRONG>Hyperspectral Imaging: Techniques for Spectral Detection and Classification</STRONG> is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of sta