Fetal Health Prediction From Cardiotocography Recordings Using Kolmogorov-Arnold Networks [0.03%]
基于Kolmogorov-Arnold网络的卡托图胎儿健康预测
W K Wong,Filbert H Juwono,Catur Apriono et al.
W K Wong et al.
Goal: Cardiotocograph (CTG) is a widely used device for monitoring fetal health during the labor phase. However, its interpretation remains challenging due to the complex and nonlinear nature of the data. Therefore, this paper aims to propo...
Ultrasound Segmentation Using Semi-Supervised Learning: Application in Point-of-Care Sarcopenia Assessment [0.03%]
基于半监督学习的超声图像分割方法及其床旁肌肉减少症筛查应用研究
Hamza Rasaee,Maryia Samuel,Bahareh Behboodi et al.
Hamza Rasaee et al.
Ultrasound imaging is crucial in medical diagnostics, offering real-time visualization of internal anatomical structures. However, accurate automatic segmentation of ultrasound images remains challenging, particularly in scenarios with limi...
Low-Rank Adaptation of Pre-Trained Large Vision Models for Improved Lung Nodule Malignancy Classification [0.03%]
预训练大视觉模型的低秩适配以改善肺结节恶性分类
Benjamin P Veasey,Amir A Amini
Benjamin P Veasey
Goal: This paper investigates using Low-Rank Adaptation (LoRA) to adapt large vision models (LVMs) pretrained with self-supervised learning (SSL) for lung nodule malignancy classification. Inspired by LoRA's success in the field of Natural ...
BandFocusNet: A Lightweight Model for Motor Imagery Classification of a Supernumerary Thumb in Virtual Reality [0.03%]
BandFocusNet：虚拟现实中多余拇指运动想象分类的轻量级模型
Haneen Alsuradi,Joseph Hong,Alireza Sarmadi et al.
Haneen Alsuradi et al.
Objective: Human movement augmentation through supernumerary effectors is an emerging field of research. However, controlling these effectors remains challenging due to issues with agency, control, and synchronizing movements with natural l...
Christoforos Meliadis,Emily Feng,Ezekiel Johnson et al.
Christoforos Meliadis et al.
Goal: This study aims to introduce a novel method for estimating maxillary sinus volume using smartphone technology, providing an accessible alternative to traditional imaging techniques. Methods: We recruited 40 participants to conduct a c...
Remote Monitoring for the Management of Spasticity: Challenges, Opportunities and Proposed Technological Solution [0.03%]
痉挛管理的远程监测：挑战、机遇及技术解决方案探讨
Kavit R Amin,Samuel R Smith,Amit N Pujari et al.
Kavit R Amin et al.
Spasticity is disabling feature of long-term neurological conditions that has substantial impact on people' quality of life. Assessing spasticity and determining the efficacy of current treatments is limited by the measurement tools availab...
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...