Current approaches to improve the pattern recognition performance mainly focus on either extracting non-stationary and discriminant features of each class, or employing complex and nonlinear feature classifiers. However, little attention has been paid to the integration of these two approaches. Combining non-stationary feature analysis with complex feature classifiers, this article presents a n...

This paper aims at finding suitable parameters for dysphonic voice analysis and classification. Moreover, a non-linear noise reduction scheme is proposed, for voice correction. Typical quantities from chaos theory and some conventional ones are evaluated, in order to provide entries for feature vectors in a feature space. Geometric signal separation is applied for voice classification, by means...

This paper reports our methodology and initial results on volumetric pathological neuroimage retrieval. A set of novel image features are computed to quantify the statistical distributions of approximate bilateral asymmetry of normal and pathological human brains. We apply memory-based learning method to nd the most-discriminative feature subset through image classi cation according to prede ne...

in this paper we address the issue of recognizing farsi handwritten words. two types of gradient features are extracted from a sliding vertical stripe which sweeps across a word image. these are directional and intensity gradient features. the feature vector extracted from each stripe is then coded using the self organizing map (som). in this method each word is modeled using the discrete hidde...

The two-phase theory for compaction and damage employs a nonequilibrium relation between interfacial surface energy, pressure, and viscous deformation, thereby providing a model for damage (void generation and microcracking) and a continuum description of weakening, failure, and shear localization. Here we examine the application of this theory to the problem of generating platelike behavior fr...

conclusions test-retest and correlation analyses have identified non-redundant radiomics features and this feature are prone to errors if they employed as quantitative biomarker for gbm image analysis. however when we use robust and redundant feature, quantitative image radiomics features are informative and prognostic biomarkers for gbm magnetic resonance imaging. results results shows that th...

Introduction: Any circumstance that alters the balance of oestrogen and progesterone leads to excessive, prolonged estrogenic stimulation, or preventing counteracting effects causing various pathological conditions in reproductive system, as a result. Women with polycystic ovarian syndrome (PCOS) have mostly anovulatory cycles low serum levels. Endometrial hyperplasia is most often due excess w...

Congenital insensitivity to pain with anhidrosis is a rare genetic disorder of peripheral nervous system characterised by recurrent episode of unexplained fever, generalized anhidrosis, insensitivity to pain and temperature and self mutilating behavior. We are presenting a eight year old female with CIPA who have pus discharge and pathological fracture of anterior mandible .Sural nerve biopsy r...

Apoptosis is a classical pathological feature in liver diseases caused by various etiological factors such as drugs, viruses, alcohol, and cholestasis. Hepatic apoptosis and its deleterious effects exacerbate liver function as well as involvement in fibrosis/cirrhosis and carcinogenesis. An imbalance between apoptotic and antiapoptotic capabilities is a prominent characteristic of liver injury....

Pathological aggregation of the microtubule-associated protein tau is a common feature of many neurodegenerative diseases. Although tau aggregation is associated with abnormal tau phosphorylation, the role of phosphorylation in the initiation of neurodegeneration has been unclear. Now, several animal models and data from human patients provide converging evidence that aberrant tau phosphorylati...