Image-Processing Techniques for Tumor Detection

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 techniquescontains practical case studies in mammography, chest X-ray, MRI scans, and nuclear medicineoffers image enhancement algorithms for increased detection of abnormalitiesdetails modern strategies to detect the subtle characteristics of a diseaseand discussesthe enhancement of mammograms for improved sensitivity in breast cancer screeningthe design of screening systems to promote reassessment of suspicious regions in computer imagessignal detection theory and algorithm assessmentthe use of standardized image databasesWith 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.