AIMC Topic: Uncertainty

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Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip.

International journal of computer assisted radiology and surgery May 9, 2021
PURPOSE: Estimating uncertainty in predictions made by neural networks is critically important for increasing the trust medical experts have in automatic data analysis results. In segmentation tasks, quantifying levels of confidence can provide meani...
Neural Networks, Computer Reproducibility of Results Humans Hip Dislocation, Congenital Diagnostic Imaging Child Uncertainty Bayes Theorem Image Processing, Computer-Assisted
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Novel criteria for global robust stability of dynamical neural networks with multiple time delays.

Neural networks : the official journal of the International Neural Network Society May 7, 2021
This research article considers the problem regarding global robust asymptotic stability of the general type of dynamical neural networks involving multiple constant time delays. Some new sufficient criteria are proposed for the existence, uniqueness...
Algorithms Time Factors Neural Networks, Computer Uncertainty
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Using Eye Gaze to Enhance Generalization of Imitation Networks to Unseen Environments.

IEEE transactions on neural networks and learning systems May 3, 2021
Vision-based autonomous driving through imitation learning mimics the behavior of human drivers by mapping driver view images to driving actions. This article shows that performance can be enhanced via the use of eye gaze. Previous research has shown...
Humans Neural Networks, Computer Automobile Driving Reproducibility of Results Deep Learning Uncertainty Artificial Intelligence Image Processing, Computer-Assisted Fixation, Ocular Machine Learning Attention
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Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.

Computers in biology and medicine Apr 28, 2021
Accurate automated medical image recognition, including classification and segmentation, is one of the most challenging tasks in medical image analysis. Recently, deep learning methods have achieved remarkable success in medical image classification ...
Humans Neural Networks, Computer Bayes Theorem Uncertainty Skin Neoplasms Deep Learning
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Neuroadaptive control of saturated nonlinear systems with disturbance compensation.

ISA transactions Apr 22, 2021
Extended state observer acting as a popular tool can estimate the system states and total disturbances simultaneously. However, for extended-state-observer-based control of high-order nonlinear systems, there are still some difficult issues to solve,...
Neural Networks, Computer Nonlinear Dynamics Uncertainty Computer Simulation Feedback
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Uncertainty measurement of radiomics features against inherent quantum noise in computed tomography imaging.

European radiology Apr 14, 2021
OBJECTIVES: Quantum noise is a random process in X-ray-based imaging systems. We addressed and measured the uncertainty of radiomics features against this quantum noise in computed tomography (CT) images.
Phantoms, Imaging Uncertainty Mice Mice, Inbred BALB C Machine Learning Animals Tomography, X-Ray Computed Male
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Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond.

Artificial intelligence in medicine Apr 10, 2021
Various convolutional neural network (CNN) based concepts have been introduced for the prostate's automatic segmentation and its coarse subdivision into transition zone (TZ) and peripheral zone (PZ). However, when targeting a fine-grained segmentatio...
Supervised Machine Learning Hippocampus Uncertainty Male Prostate Humans Neural Networks, Computer
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Demystifying uncertainty in PM10 susceptibility mapping using variable drop-off in extreme-gradient boosting (XGB) and random forest (RF) algorithms.

Environmental science and pollution research international Apr 9, 2021
This study investigates uncertainty in machine learning that can occur when there is significant variance in the prediction importance level of the independent variables, especially when the ROC fails to reflect the unbalanced effect of prediction va...
Uncertainty Humans Machine Learning Algorithms Particulate Matter
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Detecting slender objects with uncertainty based on keypoint-displacement representation.

Neural networks : the official journal of the International Neural Network Society Mar 26, 2021
Slender objects are long and thin objects. Existing object detection networks are not specially designed for detecting slender objects. We propose a method to detect slender objects. We represent slender objects with a keypoint-displacement pattern i...
Pattern Recognition, Automated Neural Networks, Computer Uncertainty Electrodes
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Computation of epistemic uncertainty due to limited data samples in small field dosimetry using Fuzzy Set Theory.

The British journal of radiology Mar 18, 2021
OBJECTIVE: To estimate the epistemic (or fuzzy) uncertainty, arising due to limited data samples in the measurement of the output factors (OFs) of the small fields using Fuzzy Set Theory (FST).
Radiometry Humans Radiotherapy Dosage Uncertainty Fuzzy Logic Radiosurgery
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