Now showing items 1-6 of 6
Computer-aided diagnosis in mammography: classification of mass and normal tissue by texture analysis
(IOP Publishing Ltd, 1994-12-01)
Computer-aided diagnosis schemes are being developed to assist radiologists in mammographic interpretation. In this study, the authors investigated whether texture features could be used to distinguish between mass and ...
Computer-aided classification of mammographic masses and normal tissue: linear discriminant analysis in texture feature space
(IOP Publishing Ltd, 1995-05-01)
The authors studied the effectiveness of using texture features derived from spatial grey level dependence (SGLD) matrices for classification of masses and normal breast tissue on mammograms. One hundred and sixty-eight ...
Computerized classification of malignant and benign microcalcifications on mammograms: texture analysis using an artificial neural network
(IOP Publishing Ltd, 1997-03-01)
We investigated the feasibility of using texture features extracted from mammograms to predict whether the presence of microcalcifications is associated with malignant or benign pathology. Eighty-six mammograms from 54 ...
Sonographic Spectrum of Focal Splenic Lesions
(Sage Publications, 1986)
Sonograms of 50 patients with a clinical suspicion of splenic abnormality were reviewed. With the use of high-resolution static and real-time equipment, combined with variable patient positioning, focal splenic lesions ...
Doppler ultrasound color flow imaging in the study of breast cancer: Preliminary findings
(Elsevier, 1990)
A prospective study of the Doppler color flow features of 55 proved breast cancers was performed. On a three-level scale of low to marked vascularity, visual assessment of the color flow images classified 82% of the cancers ...