AIMC Topic: Calibration
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Precision Denavit-Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches.
Sensors (Basel, Switzerland)
Jun 6, 2023
Precision object handling and manipulation require the accurate positioning of industrial robots. A common practice for performing end effector positioning is to read joint angles and use industrial robot forward kinematics (FKs). However, industrial...
A deep-learning-based clinical risk stratification for overall survival in adolescent and young adult women with breast cancer.
Journal of cancer research and clinical oncology
Jun 5, 2023
OBJECTIVE: The objective of this study is to construct a novel clinical risk stratification for overall survival (OS) prediction in adolescent and young adult (AYA) women with breast cancer.
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.
Computers in biology and medicine
Jun 1, 2023
Uncertainty quantification in automated image analysis is highly desired in many applications. Typically, machine learning models in classification or segmentation are only developed to provide binary answers; however, quantifying the uncertainty of ...
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.
Medical image analysis
Jun 1, 2023
Quantifying uncertainty of predictions has been identified as one way to develop more trustworthy artificial intelligence (AI) models beyond conventional reporting of performance metrics. When considering their role in a clinical decision support set...
FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting.
IEEE transactions on medical imaging
Jun 1, 2023
Weakly supervised segmentation (WSS) aims to exploit weak forms of annotations to achieve the segmentation training, thereby reducing the burden on annotation. However, existing methods rely on large-scale centralized datasets, which are difficult to...
Calibrating Data Mismatches in Deep Learning-Based Quantitative Ultrasound Using Setting Transfer Functions.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
May 25, 2023
Deep learning (DL) can fail when there are data mismatches between training and testing data distributions. Due to its operator-dependent nature, acquisition-related data mismatches, caused by different scanner settings, can occur in ultrasound imagi...
Predicting the survival of patients with pancreatic neuroendocrine neoplasms using deep learning: A study based on Surveillance, Epidemiology, and End Results database.
Cancer medicine
May 11, 2023
BACKGROUND: The study aims to evaluate the performance of three advanced machine learning algorithms and a traditional Cox proportional hazard (CoxPH) model in predicting the overall survival (OS) of patients with pancreatic neuroendocrine neoplasms ...
A 5.3 pJ/Spike CMOS Neural Array Employing Time-Modulated Axon-Sharing and Background Mismatch Calibration Techniques.
IEEE transactions on biomedical circuits and systems
May 10, 2023
Inspired by the human brain, spiking neuron networks are promising to realize energy-efficient and low-latency neuromorphic computing. However, even state-of-the-art silicon neurons are orders of magnitude worse than biological neurons in terms of ar...
A novel staging system based on deep learning for overall survival in patients with esophageal squamous cell carcinoma.
Journal of cancer research and clinical oncology
May 8, 2023
PURPOSE: We developed DeepSurv, a deep learning approach for predicting overall survival (OS) in patients with esophageal squamous cell carcinoma (ESCC). We validated and visualized the novel staging system based on DeepSurv using data from multiple ...
Spatial Calibration of Humanoid Robot Flexible Tactile Skin for Human-Robot Interaction.
Sensors (Basel, Switzerland)
May 8, 2023
Recent developments in robotics have enabled humanoid robots to be used in tasks where they have to physically interact with humans, including robot-supported caregiving. This interaction-referred to as physical human-robot interaction (pHRI)-require...
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