DENOISING AND DECONVOLVING CT IMAGES OF UNKNOWN ORIGIN: COMPARING LINEAR WIENER-DECONVOLUTION WITH DEEP CONVOLUTIONAL NEURAL NETWORK NOISE2INVERSE

Denoising and deconvolving CT images of unknown origin: comparing linear Wiener-deconvolution with deep convolutional neural network Noise2Inverse

Low-dose CT scans are very fast, but they feature strong pixel noise which, in turn, invites for efficient denoising the same way that strong image blur invites for sharpening the images.Wiener-deconvolution serves as a starting point, combining these two operations in a linear Fourier filter.It may apply in 2D or 3D and requires merely estimates o

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Topographic and morphometric characterization of the humerii nutrient foramina and their implications for fracture repair and healing

Abstract Fractures of the humerus are common on the midshaft of the bone, often causing injury to the nutrient artery.Successful fracture repair and healing requires preservation of the blood supply to the long bones which is conveyed through the nutrient foramina (NF).The topography of long bone NF varies in different populations.These variations

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The Performance Comparison of a Dual-Ridge Horn Antenna and a Planar Monopole Antenna in the Microwave Breast Cancer Detection

Detection of the breast cancer tumors at an early stage is very crucial to be successful in the treatment.Microwave measurement systems have gained much attention for this aim over last decades.The main principle of these systems is based on the significant difference in the dielectric properties of the malignant tumor and normal breast tissue in t

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