Results 11 to 20 of about 15,597 (201)
Improving Measurement Bias of Structural Similarity Index (SSIM) using Absolute Difference Equation
Applications of Modelling and Simulation, 2022 Structural similarity index (SSIM) is a framework for assessing the perceptual quality from an image using the degrading and structural information of an image. It is an alternative method for quantifying visual image quality since subjective evaluation by humans, in practice, is too inconvenient, time-consuming and expensive. SSIM has been widely used
Jaafar, Muhammad Irfan +2 more
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Scientific Reports, 2023 To generate and evaluate synthesized postoperative OCT images of epiretinal membrane (ERM) based on preoperative OCT images using deep learning methodology.
Joseph Kim, Hee Seung Chin
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Various Generative Adversarial Networks Model for Synthetic Prohibitory Sign Image Generation
Applied Sciences, 2021 A synthetic image is a critical issue for computer vision. Traffic sign images synthesized from standard models are commonly used to build computer recognition algorithms for acquiring more knowledge on various and low-cost research issues. Convolutional
Christine Dewi +3 more
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Deep Learning Reconstruction Enables Diagnostic-Quality 0.4T Knee and Spine MRI in One-Third of the Time. [PDF]
NMR BiomedThe deep learning model CIRIM successfully accelerated knee and spine data up to an acceleration factor of 3, after optimizing the undersampling mask and loss function. The model demonstrated robustness and generalizability to different contrasts, matrix sizes, orientations, and anatomies. ABSTRACT There has been a growing interest in low‐field MRI due
van den Berg DM +9 more
europepmc +2 more sources
Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements [PDF]
, 2016 Background subtraction has been a fundamental and widely studied task in video analysis, with a wide range of applications in video surveillance, teleconferencing and 3D modeling.
Cao, Wenfei +6 more
core +2 more sources
Frontiers in Physiology, 2023 Blood arrival time and blood transit time are useful metrics in characterizing hemodynamic behaviors in the brain. Functional magnetic resonance imaging in combination with a hypercapnic challenge has been proposed as a non-invasive imaging tool to ...
Bradley Fitzgerald +7 more
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Sensors, 2023 The usage of media such as images and videos has been extensively increased in recent years. It has become impractical to store images and videos acquired by camera sensors in their raw form due to their huge storage size.
Afnan +5 more
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An investigation into inter- and intragenomic variations of graphic genomic signatures [PDF]
, 2015 We provide, on an extensive dataset and using several different distances, confirmation of the hypothesis that CGR patterns are preserved along a genomic DNA sequence, and are different for DNA sequences originating from genomes of different species ...
Karamichalis, Rallis +3 more
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Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
, 2019 Convolutional autoencoders have emerged as popular methods for unsupervised defect segmentation on image data. Most commonly, this task is performed by thresholding a pixel-wise reconstruction error based on an $\ell^p$ distance. This procedure, however,
Bergmann, Paul +4 more
core +1 more source
Thresholding Approach to Radiography Image Processing Acceleration
Telfor Journal, 2017 An approach for detecting low‑value Laplacian pyramid coefficients which can be used to accelerate radiography image processing is presented.The acceleration is achieved through modifying Laplacian pyramid construction algorithm.
V. S. Ostojić +2 more
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