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M L Giger
D E Wolverton

Showing results (1-10 of 104) with videos related to

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Diagnostic Imaging|October 4, 1996
Computer-aided methods help cancer diagnosesM L Giger, D E Wolverton
Academic Radiology|December 29, 2000
Computerized classification of benign and malignant masses on digitized mammograms: a study of robustnessZ Huo, M L Giger, C J Vyborny, et al.
Medical Physics|February 5, 2000
Computerized analysis of mammographic parenchymal patterns for breast cancer risk assessment: feature selectionZ Huo, M L Giger, D E Wolverton, et al.
Academic Radiology|April 2, 1998
Automated computerized classification of malignant and benign masses on digitized mammogramsZ Huo, M L Giger, C J Vyborny, et al.
Academic Radiology|January 1, 1995
Automated segmentation of digitized mammogramsU Bick, M L Giger, R A Schmidt, et al.
Academic Radiology|July 14, 2000
Computerized analysis of lesions in US images of the breastM L Giger, H Al-Hallaq, Z Huo, et al.
Medical Physics|October 1, 1995
Analysis of spiculation in the computerized classification of mammographic massesZ Huo, M L Giger, C J Vyborny, et al.
Radiology|March 1, 1996
Malignant and benign clustered microcalcifications: automated feature analysis and classificationY Jiang, R M Nishikawa, D E Wolverton, et al.
AJR. American Journal of Roentgenology|October 1, 1996
Clinical outcome of doubtful mammographic findingsD E Wolverton, E A Sickles
Medical Physics|March 1, 1985
Investigation of basic imaging properties in digital radiography. 3. Effect of pixel size on SNR and threshold contrastM L Giger, K Doi
Pageof 11

Showing results (1-10 of 104) with videos related to

Sort By:
Pageof 11
Diagnostic Imaging|October 4, 1996
Computer-aided methods help cancer diagnosesM L Giger, D E Wolverton
Academic Radiology|December 29, 2000
Computerized classification of benign and malignant masses on digitized mammograms: a study of robustnessZ Huo, M L Giger, C J Vyborny, et al.
Medical Physics|February 5, 2000
Computerized analysis of mammographic parenchymal patterns for breast cancer risk assessment: feature selectionZ Huo, M L Giger, D E Wolverton, et al.
Academic Radiology|April 2, 1998
Automated computerized classification of malignant and benign masses on digitized mammogramsZ Huo, M L Giger, C J Vyborny, et al.
Academic Radiology|January 1, 1995
Automated segmentation of digitized mammogramsU Bick, M L Giger, R A Schmidt, et al.
Academic Radiology|July 14, 2000
Computerized analysis of lesions in US images of the breastM L Giger, H Al-Hallaq, Z Huo, et al.
Medical Physics|October 1, 1995
Analysis of spiculation in the computerized classification of mammographic massesZ Huo, M L Giger, C J Vyborny, et al.
Radiology|March 1, 1996
Malignant and benign clustered microcalcifications: automated feature analysis and classificationY Jiang, R M Nishikawa, D E Wolverton, et al.
AJR. American Journal of Roentgenology|October 1, 1996
Clinical outcome of doubtful mammographic findingsD E Wolverton, E A Sickles
Medical Physics|March 1, 1985
Investigation of basic imaging properties in digital radiography. 3. Effect of pixel size on SNR and threshold contrastM L Giger, K Doi
Pageof 11