Current Signal Transduction Therapy - Volume 15, Issue 2, 2020

Background: Some interpolators cannot be used in an image magnification problem in a freely scalable form. For instance, when we want to magnify an image to a 16-time bigger scale, some interpolators have to do this process in two steps including two 4-time magnification steps, however, some are able to do it directly. Materials and Methods: For generating data of this study, MATLAB as a simulator has been used Read More

Background: 3,4-Dihydro-6-[4-{3,4-dimethoxybenzoyl}-1-piperazinyl]-2(1H)-quinolinone (vesnarinone), a novel inotropic drug with unique and complex mechanisms of action, is known to show antitumor activity against several human malignancies. In the present study, vesnarinone-induced signal transduction of S-phase kinase-associated protein 2 (Skp2) and Nuclear Factor-kappa Beta (NF-ΚB) as molecular targets o Read More

Background: Accurate detection of brain tumor and its severity is a challenging task in the medical field. So there is a need for developing brain tumor detecting algorithms and it is an emerging one for diagnosis, planning the treatment and outcome evaluation. Materials and Methods: Brain tumor segmentation method using deep learning classification and multi-modal composition has been developed using the deep convol Read More

Background: Image segmentation is an important problem in both image processing and computer vision. Given an image, the goal of image segmentation is to label each pixel in the image such that the pixels with the same label collectively represent an object. Materials and Methods: Due to the inherent complexity and noise that may exist in images, developing an algorithm that can generate excellent segmentation r Read More

Background: Recent advances in medical associated technologies have drastically increased the amount of electronic medical records collected, stored and transferred through the network. Considering the significance and level of sensitivity of the collected medical data, the security of the transmitted data has become a very vital and challenging task for researchers. The protection of these medical images with embedded Read More

Background: Achieving the best possible classification accuracy is the main purpose of each pattern recognition scheme. An interesting area of classifier design is to design for biomedical signal and image processing. Materials and Methods: In the current work, in order to increase recognition accuracy, a theoretical frame for combination of classifiers is developed. This method uses different pattern representations Read More

Background: Real-time video coding is a very interesting area of research with extensive applications into remote sensing and medical imaging. Many research works and multimedia standards for this purpose have been developed. Some processing ideas in the area are focused on second-step (additional) compression of videos coded by existing standards like MPEG 4.14. Materials and Methods: In this article, an evaluation Read More

Background: Hedgehog pathway plays a crucial role in the neovascularisation and angiogenesis during the embryonic stage in humans. Three genes of hedgehog protein isolated from humans are Sonic hedgehog, Desert hedgehog and Indian hedgehog gene. Two G-protein coupled receptors identified in the sonic hedgehog pathway served as patched receptor and smoothened receptor. Materials and Methods: Parti Read More

Background: Salivary Adenoid Cystic Carcinoma (ACC) is a malignant tumor located at oral and maxillofacial regions, and its conventional treatments are surgery, chemotherapy and radiotherapy. However, its poor survival rates and prognosis resulting from the molecular mechanisms underlying the carcinogenesis remain obscure. To date, there are insufficient reviews to summarize the genes and molecular pathways f Read More

Background: The presence of speckle noise in synthetic aperture radar (SAR) images makes the images of low quality in terms of textural features and spatial resolution which are required for processing issues such as image classification and clustering. Already, there are many adaptive filters to remove noise in SAR images. ENVI software is a fully applicable tool for this purpose which has a good library including several filters i Read More

Introduction: Chronic Kidney Disease (CKD) is a highly prevalent condition and it is a major risk factor for End-Stage Renal Disease (ESRD), cardiovascular disease, and premature death. Some congenital and acquired anomalies of the kidneys and lower urinary tract (CAKUT and CALUT) are well-known causes of CKD and ESRD, but often remain undiagnosed and their prevalence is underestimated. This study aims to prov Read More