Image-Processing Techniques for Tumor Detection provides a current review of computer processing algorithms for the identification of lesions, abnormal masses, cancer, and disease in medical images-presenting useful examples from numerous imaging modalities for increased recognition of anomalies in MRI, CT, SPECT, and digital/film X-ray.

This reference

• evaluates and compares specific image processing techniques
• contains practical case studies in mammography, chest X-ray, MRI scans, and nuclear medicine
• offers image enhancement algorithms for increased detection of abnormalities
• details modern strategies to detect the subtle characteristics of a disease

and discusses

• the enhancement of mammograms for improved sensitivity in breast cancer screening
• the design of screening systems to promote reassessment of suspicious regions in computer images
• signal detection theory and algorithm assessment
• the use of standardized image databases

With contributions from nearly 40 international experts, Image-Processing Techniques for Tumor Detection is an indispensable guide for biomedical, optical, and electrical engineers; radiologists; computer scientists; pathologists; internists; and upper-level undergraduate and graduate students in these disciplines.