Results 171 to 180 of about 4,405,442 (293)

Comparing Image Segmentation Algorithms

open access: yes2024 IEEE 4th International Conference on Data Science and Computer Application (ICDSCA)
This paper presents a novel approach for denoising binary images using simulated annealing (SA), a global optimization technique that addresses the inherent challenges of non convex energy functions. Binary images are often corrupted by noise, necessitating effective restoration methods.
openaire   +3 more sources

Association of Deep Learning Imaging Algorithm Measures of Microbial Keratitis With Vision Outcomes. [PDF]

open access: yesCornea
Vogt EL   +19 more
europepmc   +1 more source

Microvascular damage is associated with carotid wall structural changes in Systemic Sclerosis: a capillaroscopy and ultrasound‐based observational study

open access: yesArthritis Care &Research, Accepted Article.
Introduction Systemic sclerosis (SSc) is characterized by cardiovascular risk excess not fully explained by traditional factors. Whether the severity of microvascular damage correlates with structural subclinical atherosclerosis remains unclear. We investigated the relationship between nailfold videocapillaroscopy (NVC) abnormalities and carotid ...
Eugenio Capparelli   +13 more
wiley   +1 more source

Development and evaluation of an automated phase contrast magnetic resonance imaging algorithm for pediatric and adult cerebral blood flow measurement. [PDF]

open access: yesNeuroradiology
Liu J   +14 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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