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Computer methodologies are being developed to assist radiologists, as second readers, in the interpretation of mammograms. This could represent further amelioration by increasing diagnostic accuracy in the screening programs. We have developed a computerized scheme to detect clustered microcalcifications in digital mammograms, using 100 mammograms that were randomly selected from the mammographic...
A previously developed computerized scheme to detect masses has been further revised and several improvements were intended. Mammograms were digitized at a higher resolution with a mammographic laser scanner providing 12 bits. Some steps of the scheme, based on bilateral subtraction technique, were modified. Several new features were designed and a BPN neural network was used to reduce the number...
Computerized methods to detect microcalcifications in digital mammograms are being developed. Parallel to this, Wavelet Transform (WT) has become an important tool in the field of signals and images processing. This paper is devoted to the realisation and evaluation of an Analytic Wavelet Transform (AWT) based algorithm for the detection of microcalcifications. AWT has proved to be an efficient tool...
Twenty patients with cardiovascular diseases were examined using a 1.5-T magnetic resonance imaging (MRI) unit, and several parameters of both ventricles, such as ejection fraction (EF), end-diastolic and end-systolic volumes (EDV and ESV, respectively), were quantified by an experienced operator using two methods: 1) our semiautomatic segmentation method based on edge detection, iterative thresholding...
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