Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies [0.03%]
基于生成对抗网络的医疗保健中的合成数据生成：图像和信号研究的系统回顾
Muhammed Halil Akpinar,Abdulkadir Sengur,Massimo Salvi et al.
Muhammed Halil Akpinar et al.
Generative Adversarial Networks (GANs) have emerged as a powerful tool in artificial intelligence, particularly for unsupervised learning. This systematic review analyzes GAN applications in healthcare, focusing on image and signal-based st...
Miniaturized Devices for Isothermal Amplification and Photometric Quantification of Pseudomonas Aeruginosa [0.03%]
铜绿假单胞菌等温扩增和光电量化的微型装置
P Ramya Priya,Satish Kumar Dubey,Sanket Goel
P Ramya Priya
Goal: This study introduced a proof-of-concept prototype for isothermal recombinase polymerase amplification (RPA) with miniaturized photometric detection, enabling rapid P. aeruginosa detection. Methods: The researchers conducted the ampli...
Voxel-Wise Brain Graphs From Diffusion MRI: Intrinsic Eigenspace Dimensionality and Application to Functional MRI [0.03%]
基于扩散MRI的体素脑图谱：内在本征空间维度及其在功能磁共振成像中的应用
Hamid Behjat,Anjali Tarun,David Abramian et al.
Hamid Behjat et al.
Goal: Structural brain graphs are conventionally limited to defining nodes as gray matter regions from an atlas, with edges reflecting the density of axonal projections between pairs of nodes. Here we explicitly model the entire set of voxe...
Sleep Apnea Events Recognition Based on Polysomnographic Recordings: A Large-Scale Multi-Channel Machine Learning approach [0.03%]
基于多导睡眠图记录的睡眠呼吸事件识别：一种大规模多通道机器学习方法
Nicolo La Porta,Stefano Scafa,Michela Papandrea et al.
Nicolo La Porta et al.
Goal: The gold standard for detecting the presence of apneic events is a time and effort-consuming manual evaluation of type I polysomnographic recordings by experts, often not error-free. Such acquisition protocol requires dedicated facili...
Rory Bennett,Tristan Barrett,Vincent J Gnanapragasam et al.
Rory Bennett et al.
Surface-based ultrasound (SUS) systems have undergone substantial improvement over the years in image quality, ease-of-use, and reduction in size. Their ability to image organs non-invasively makes them a prime technology for the diagnosis ...
Complex Hemodynamic Responses to Trans-Vascular Electrical Stimulation of the Renal Nerve in Anesthetized Pigs [0.03%]
麻醉猪肾神经跨血管电刺激的复杂血流动力学反应
Filippo Agnesi,Lucia Carlucci,Gia Burjanadze et al.
Filippo Agnesi et al.
The objective of this study was to characterize hemodynamic changes during trans-vascular stimulation of the renal nerve and their dependence on stimulation parameters. We employed a stimulation catheter inserted in the right renal artery u...
Synergy-Dependent Center-of-Mass Control Strategies During Sit-to-Stand Movements [0.03%]
坐站运动中的协同质量中心控制策略
Simone Ranaldi,Leonardo Gizzi,Giacomo Severini et al.
Simone Ranaldi et al.
The characterization, through the concept of muscle synergies, of clinical functional tests is a valid tool that has been widely adopted in the research field. While this theory has been exploited for a description of the motor control stra...
Frank A Greco,Brent R Schell,Eugene B Hanlon
Frank A Greco
Goal: We previously demonstrated that near-infrared spectroscopy in vivo presents spectral features at 895 and 861 nm that accurately classify Alzheimer's disease, mild cognitive impairment, and age-matched control subjects. Our purpose her...
Optimized Whole-Slide-Image H&E Stain Normalization: A Step Towards Big Data Integration in Digital Pathology [0.03%]
优化的数字病理大规模数据整合H&E染色规范化方法整转规范化方法整转
Jose L Agraz,Carlos Agraz,Andrew A Chen et al.
Jose L Agraz et al.
In the medical diagnostics domain, pathology and histology are pivotal for the precise identification of diseases. Digital histopathology, enhanced by automation, facilitates the efficient analysis of massive amount of biopsy images produce...
Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers [0.03%]
一种用于增强糖尿病足溃疡感染预测的引导条件扩散分类器（ConDiff）
Palawat Busaranuvong,Emmanuel Agu,Deepak Kumar et al.
Palawat Busaranuvong et al.
Goal: To accurately detect infections in Diabetic Foot Ulcers (DFUs) using photographs taken at the Point of Care (POC). Achieving high performance is critical for preventing complications and amputations, as well as minimizing unnecessary ...