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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."Synopsis
"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."
Booknews
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)
Editorials
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)