ChromosomeNet: Deep Learning-Based Automated Chromosome Detection in Metaphase Cell Images [0.03%]
基于深度学习的有丝分裂细胞图像染色体自动识别算法
Chih-En Kuo,Jun-Zhou Li,Jenn-Jhy Tseng et al.
Chih-En Kuo et al.
Goal: Chromosomes are intracellular aggregates that carry genetic information. An abnormal number or structure of chromosomes causes chromosomal disorders. Thus, chromosome screening is crucial for prenatal care; however, manual analysis of...
Contactless Detection of Abnormal Breathing Using Orthogonal Frequency Division Multiplexing Signals and Deep Learning in Multi-Person Scenarios [0.03%]
基于正交频分复用信号和深度学习的多人场景中异常呼吸非接触式检测
Muneeb Ullah,Xiaodong Yang,Zhiya Zhang et al.
Muneeb Ullah et al.
Objective: Contactless detection and classification of abnormal respiratory patterns is challenging, especially in multi-person scenarios. While Software-Defined Radio (SDR) systems have shown promise in capturing subtle respiratory movemen...
A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data [0.03%]
基于可穿戴设备数据的生活质量评估的深度学习研究综述
Vasileios Skaramagkas,Ioannis Kyprakis,Georgia S Karanasiou et al.
Vasileios Skaramagkas et al.
Quality of Life (QoL) assessment has evolved over time, encompassing diverse aspects of human existence beyond just health. This paper presents a comprehensive review of the integration of Deep Learning (DL) techniques in QoL assessment, fo...
Mohammed Aburidi,Roummel Marcia
Mohammed Aburidi
Objective: The development of pharmaceutical agents relies heavily on optimizing their pharmacodynamics, pharmacokinetics, and toxicological properties, collectively known as ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxic...
Context-Aware Dual-Task Deep Network for Concurrent Bone Segmentation and Clinical Assessment to Enhance Shoulder Arthroplasty Preoperative planning [0.03%]
上下文感知的双任务深度网络：通过肩关节置换术术前规划同时进行骨分割和临床评估以增强肩关节置换术的术前规划
Luca Marsilio,Andrea Moglia,Alfonso Manzotti et al.
Luca Marsilio et al.
Goal: Effective preoperative planning for shoulder joint replacement requires accurate glenohumeral joint (GH) digital surfaces and reliable clinical staging. Methods: xCEL-UNet was designed as a dual-task deep network for humerus and scapu...
The Shift to Over-the-Counter Diagnostic Testing After RADx: Clinical, Regulatory, and Societal Implications [0.03%]
RADx之后转向非处方诊断检测的临床、监管和社会影响
Maren Downing,John Broach,Wilbur Lam et al.
Maren Downing et al.
The National Institutes of Health's Rapid Acceleration of Diagnostics (RADx) program answered the call to accelerate the development of point-of-care (POC) and over-the-counter (OTC) COVID-19 tests. The widespread availability and access to...
Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage [0.03%]
基于集成深度学习的目标检测细胞追踪、有丝分裂和谱系分析方法
Imad Eddine Toubal,Noor Al-Shakarji,D D W Cornelison et al.
Imad Eddine Toubal et al.
Cell tracking and motility analysis are essential for understanding multicellular processes, automated quantification in biomedical experiments, and medical diagnosis and treatment. However, manual tracking is labor-intensive, tedious, and ...
Design and Validation of a Tripping-Eliciting Platform Based on Compliant Random Obstacles [0.03%]
基于顺应性随机障碍的触发绊倒平台的设计与验证
Eugenio Anselmino,Lorenzo Pittoni,Tommaso Ciapetti et al.
Eugenio Anselmino et al.
Goal: The experimental study of the stumble phenomena is essential to develop novel technological solutions to limit harmful effects in at-risk populations. A versatile platform to deliver realistic and unanticipated tripping perturbations,...
An ECG-Based Model for Left Ventricular Hypertrophy Detection: A Machine Learning Approach [0.03%]
基于ECG的左心室肥厚检测模型：一种机器学习方法
Marion Taconne,Valentina D A Corino,Luca Mainardi
Marion Taconne
Goal: Despite the high incidence of left ventricular hypertrophy (LVH), clinical LVH-electrocardiography (ECG) criteria remain unsatisfactory due to low sensitivity. We propose an automatic LVH detection method based on ECG-extracted featur...
Marisse Masis Solano,Remy Dumas,Mark R Lesk et al.
Marisse Masis Solano et al.
Objective: To assess the impact of microgravity exposure on ocular rigidity (OR), intraocular pressure (IOP), and ocular pulse amplitude (OPA) following long-term space missions. OR was evaluated using optical coherence tomography (OCT) and...