Background: Detection and segmentation of brain tumors using MR images are challenging and valuable tasks in the medical field.Early diagnosing and localizing of brain tumors can save lives and provide timely options for physicians to select efficient treatment plans.Deep learning approaches have attracted researchers in medical imaging due to thei
Hyperspectral images (HSIs) are always corrupted by complicated forms of noise during the acquisition process, such as Gaussian noise, impulse noise, stripes, deadlines and so on.Specifically, different bands of the practical HSIs generally contain different noises of evidently distinct type and extent.While current HSI restoration methods give les
Objective.Systematize the experience and identify challenges and lessons Bike Units - Adventure learned in the implementation of an initiative for integrated serosurveillance of communicable diseases using a multiplex bead assay in countries of the Americas.Methods.Documents produced in the initiative were compiled and reviewed.These included conce
The control itself has purpose and finality, permanently presenting an active role in the decisionmaking process, with implications on how the decision maker manages to choose the best option from the multitude of solutions, such as the Cordials trajectory followed to achieve the finality of the managerial act.The correct correlation between the ma
The goal of the work is to study the original Ukrainian Zograf Pomyanyk of the 17th - 18th centuries, which is contained in a manuscript convolute together with the Russian Synodicon-Pomyanyk of 1639 (Mount Athos, Zograf Monastery, storage code Zogr.77).To conducta description of the entire codex based on codicological and paleographic research.The