ZNET: DEEP LEARNING APPROACH FOR 2D MRI BRAIN TUMOR SEGMENTATION

Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation

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 Tv U

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Contact Force Measurement in an Operational Thrust Bearing using PVDF Film at the Blade and Pad Passing Frequencies

A major contributor to longitudinal vibration in marine propulsion systems is propeller induced excitation.This constitutes a key source of underwater acoustical radiation through excitation of the hull.Understanding this hydrodynamic force at the interface of the thrust bearing is important in order to develop an accurate vibrational model of the

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A genetically-encoded YFP sensor with enhanced chloride sensitivity, photostability and reduced ph interference demonstrates augmented transmembrane chloride movement by gerbil prestin (SLC26a5).

BackgroundChloride is the Moisturiser major anion in cells, with many diseases arising from disordered Cl- regulation.For the non-invasive investigation of Cl- flux, YFP-H148Q and its derivatives chameleon and Cl-Sensor previously were introduced as genetically encoded chloride indicators.Neither the Cl- sensitivity nor the pH-susceptibility of the

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