background: body image reflects how a person thinks and feels about his/her own body. negative body image results in low self-esteem and depression. the aim of the present study was to investigate the relationship of body image and self-esteem with marital adjustment among female married employees of kerman university of medical sciences. methods: this cross-sectional study was performed on 380...

This paper presents the classication of invariant subgroups automorphism groups regular elements obtained from nite local near-rings, appropriate algebraic structure to study non-linear functions on finite groups. Just as rings matrices operate vector spaces, near-rings In this paper, we construct classes zero symmetric near-ring characteristic pk; k = 1; 2 ; \(\ge\) 3 admitting frobenius deriv...

normal 0 false false false en-us x-none fa background:  regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. the method of segmentation is used to analyze anal to miscall structures in medical imaging. objective:  this study describes a new method for brain magnetic resonance image (mri) segmentation via a ...

This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model benefits from high frequency and low frequency features extracted from deep and shallow networks...

Automatic decisional systems based on pattern classification methods are becoming very important to support medical diagnosis. In general, the overall objective is to classify between healthy subjects and patients affected by a certain disease. To reach this aim, significant efforts have been spent in finding reliable biomarkers which are able to robustly discriminate between the two population...

Segmentation of medical images is an important component for diagnosis and treatment of diseases using medical imaging technologies. However, automated accurate medical image segmentation is still a challenge due to the difficulties in finding a robust feature descriptor to describe the object boundaries in medical images. In this paper, a new normal vector feature profile (NVFP) is proposed to...

Thomas M. Lehmann, Henning Müller, Qi Tian, Nikolas P. Galatsanos, and Daniel Mlynek 1) Dept. of Medical Informatics, RWTH Aachen University of Technology, Aachen, Germany 2) Medical Informatics Service, University Hospitals of Geneva, Geneva, Switzerland 3) Inst. f. Infocomm Research, Agency for Science, Techn. and Research (A*Star), Singapore 4) Biom. Research Inst., Found. for Research & Tec...