Care of terminally ill / Palliative care

Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound.

Three-dimensional (3D) transrectal ultrasound (TRUS) is utilized in prostate cancer diagnosis and tr...

Research on Data Analysis Network of TCM Tongue Diagnosis Based on Deep Learning Technology.

The aim of the study is to build a tongue image intelligent analysis "end-to-end" deep learning netw...

Deep Learning-Based Electrocardiograph in Evaluating Radiofrequency Ablation for Rapid Arrhythmia.

This study is aimed at analyzing the important role of deep learning-based electrocardiograph (ECG) ...

Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy.

Artificial intelligence (AI) is widely used to analyze gastrointestinal (GI) endoscopy image data. A...

An end-to-end computer vision methodology for quantitative metallography.

Metallography is crucial for a proper assessment of material properties. It mainly involves investig...

Designing Robots for Elderly from the Perspective of Potential End-Users: A Sociological Approach.

The proposed research aims to investigate the problem of age-friendly robot designing from the persp...

Data-Driven Haptic Texture Modeling and Rendering Based on Deep Spatio-Temporal Networks.

Data-driven approaches are commonly used to model and render haptic textures for rigid stylus-based ...

Signed random walk diffusion for effective representation learning in signed graphs.

How can we model node representations to accurately infer the signs of missing edges in a signed soc...

Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination.

BACKGROUND: Immediate implant placement in the esthetic area requires comprehensive assessments with...

BirdBot achieves energy-efficient gait with minimal control using avian-inspired leg clutching.

Designers of legged robots are challenged with creating mechanisms that allow energy-efficient locom...

Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems.

In this article, we introduce a novel approximate optimal decentralized control scheme for uncertain...

MCG-Net: End-to-End Fine-Grained Delineation and Diagnostic Classification of Cardiac Events From Magnetocardiographs.

In this paper, we propose an end-to-end deep learning architecture, referred as MCG-Net, integrating...

Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification.

Incomplete time series classification (ITSC) is an important issue in time series analysis since tem...

Visual attention prediction improves performance of autonomous drone racing agents.

Humans race drones faster than neural networks trained for end-to-end autonomous flight. This may be...

Performance Degradation Estimation of High-Speed Train Bogie Based on 1D-ConvLSTM Time-Distributed Convolutional Neural Network.

High-speed train bogies are essential for the safety and comfort of train operation. The performance...

Deep-learning model for predicting the survival of rectal adenocarcinoma patients based on a surveillance, epidemiology, and end results analysis.

BACKGROUND: We collected information on patients with rectal adenocarcinoma in the United States fro...

Predicting adverse cardiac events in sarcoidosis: deep learning from automated characterization of regional myocardial remodeling.

Recognizing early cardiac sarcoidosis (CS) imaging phenotypes can help identify opportunities for ef...

Fuzzy Support Tensor Product Adaptive Image Classification for the Internet of Things.

Computer vision is one of the hottest research directions in artificial intelligence at present, and...

Re: Robotic Kidney Transplantation with Regional Hypothermia Versus Open Kidney Transplantation for Patients with End Stage Renal Disease: An Ideal Stage 2B Study.

Intelligent 2-∞ Consensus of Multiagent Systems under Switching Topologies via Fuzzy Deep Learning.

The problem of intelligent - consensus design for leader-followers multiagent systems (MASs) under...

An End-to-End Deep Learning Pipeline for Football Activity Recognition Based on Wearable Acceleration Sensors.

Action statistics in sports, such as the number of sprints and jumps, along with the details of the ...