Texture enhancement for medical images is the most important technique in medical image diagnosis. This paper introduces a texture enhancement technique for medical images by using fractional differential (FD) masks based on Srivastava-Owa fractional operators. We also construct a 2D isotropic gradient mask based on generalized fractional operators. Texture enhancement performance is measured b...

As the technicality in the day to day life is increasing, the world is getting highly dependent on different devices for almost each and every work. Every individual is dependent on these devices for accurate and efficient results. Also, the manual work has been reduced to a great extent. Skin texture analysis is one of the major issues in the field of medical diagnosis. Various types of skin d...

In this paper, a systematic and efficient formulation for analysis of active circuits containing operational transconductance amplifiers (OTA) is presented. The modified nodal approach is used in obtaining the system equations of active circuits. The model of operational transconductance amplifier relating to the used analysis method is given. The model is a matrix-based approach. Thus, it allo...

BACKGROUND Texture analysis can be used to identify and discriminate between objects in an image and has already been used for the characterization of diseases. The present study evaluated the potential of texture analysis for monitoring tumor cell viability during treatment with an anti-vascular drug. MATERIALS AND METHODS Texture analysis of T2-weighted magnetic resonance images of C3H mamm...

This paper presents new approach in application of picture languages for cognitive analysis and reasoning of selected medical visualization. It will be shown new opportunities for applying these methods to undertake tasks of the automatic understanding of image semantics in intelligent medical information or computeraided diagnosis systems. These systems are applied in various tasks supporting ...

INTRODUCTION Visual inspection by magnetic resonance (MR) images cannot detect microscopic tissue changes occurring in MS in normal appearing white matter (NAWM) and may be perceived by the human eye as having the same texture as normal white matter (NWM). The aim of the study was to evaluate computer aided diagnosis (CAD) system using texture analysis (TA) in MR images to improve accuracy in i...

Katja Mueller 1 has recently advocated a mathematical, computeraided approach to locating settlements in Ptolemaic Egypt. Based on that approach, as well as on more traditional analysis, she reconstructed probable settlement maps for the Merides of Themistos and Polemon of the Arsinoite nome. In this paper, we review the validity of the proposed computer-aided approach. In particular, we assess:

Computeraided diagnosis of breast cancer is an important medical approach. In this research paper, we focus on combining two major methodologies, namely fuzzy base systems and the evolutionary genetic algorithms and on applying them to the Saudi Arabian breast cancer diagnosis database, to aid physicians in obtaining an earlycomputerized diagnosis and hence prevent the development of cancer thr...

Microcalcification clusters in mammograms are an important early sign of breast cancer. Varying densities of parenchymal tissue make visual detection of these masses very difficult. Computeraided diagnosis using wavelet transform is recently being used to improve the diagnostic accuracy and efficiency of screening mammography. Wavelet coeffcients describe the local geometry of an image in terms...