Slim UNETR++: A lightweight 3D medical image segmentation network for medical image analysis [0.03%]
Slim UNETR++：一种用于医学图像分析的轻量级3D医学图像分割网络
Jiawei Jin,Sen Yang,Jigang Tong et al.
Jiawei Jin et al.
Convolutional neural network (CNN) models, such as U-Net, V-Net, and DeepLab, have achieved remarkable results across various medical imaging modalities, and ultrasound. Additionally, hybrid Transformer-based segmentation methods have shown...
Subclinical atrial fibrillation prediction based on deep learning and strain analysis using echocardiography [0.03%]
基于深度学习和应变分析的超声心动图隐源性房颤预测方法研究
Sung-Hao Huang,Ying-Chi Lin,Ling Chen et al.
Sung-Hao Huang et al.
Subclinical atrial fibrillation (SCAF), also known as atrial high-rate episodes (AHREs), refers to asymptomatic heart rate elevations associated with increased risks of atrial fibrillation and cardiovascular events. Although deep learning (...
Abnormal phase-amplitude coupling in patients with first-episode schizophrenia during the auditory steady-state response and resting states [0.03%]
首发精神分裂症患者稳态和静息态下的非正常相位幅度耦合现象
Jie Zhang,Xiong Jiao,Junjie Wang et al.
Jie Zhang et al.
The auditory steady-state response (ASSR) is a robust index for schizophrenia. Abnormal phase-amplitude coupling (PAC) in schizophrenia might be influenced by the confounding factors of illness stages and antipsychotic treatments. To exclud...
ToPoMesh: accurate 3D surface reconstruction from CT volumetric data via topology modification [0.03%]
通过拓扑修改从CT体数据中精确重建三维表面
Junjia Chen,Qing Zhu,Bowen Xie et al.
Junjia Chen et al.
Traditional computed tomography (CT) methods for 3D reconstruction face resolution limitations and require time-consuming post-processing workflows. While deep learning techniques improve the accuracy of segmentation, traditional voxel-base...
Passive haptic interface for robot-assisted endovascular catheterization [0.03%]
一种用于机器人辅助血管内导管插人的被动触觉接口
Yu Song,Yu Tian,Liutao Li et al.
Yu Song et al.
Master-slave vascular interventional surgical robots reduce surgeon's exposure to radiation during procedures. However, the master-slave structure keeps the surgeon away from the patient, the surgeon loses the sense of haptics while manipul...
Deep ensemble framework with Bayesian optimization for multi-lesion recognition in capsule endoscopy images [0.03%]
基于贝叶斯优化的深嵌入框架在小肠胶囊内镜图像中多病灶识别中的应用
Xudong Guo,Liying Pang,Peiyu Chen et al.
Xudong Guo et al.
In order to address the challenges posed by the large number of images acquired during wireless capsule endoscopy examinations and fatigue-induced leakage and misdiagnosis, a deep ensemble framework is proposed, which consists of CA-Efficie...
Estimation of the equivalent external force using a musculoskeletal model with muscle coactivation [0.03%]
基于肌肉协同激活的肌骨模型外部等效力估计方法研究
Pau Zamora-Ortiz,Rafael J Escarabajal,José L Pulloquinga et al.
Pau Zamora-Ortiz et al.
The present work introduces a novel method to determine the force vector that a subject must exert at the end of a limb in order to achieve the desired muscle force, taking into account muscle coactivation. The obtained force vector is refe...
Improved drowsiness detection in drivers through optimum pairing of EEG features using an optimal EEG channel comparable to a multichannel EEG system [0.03%]
通过使用与多通道脑电系统相当的最优脑电通道优化EEG特征配对改进驾驶员嗜睡检测
Riaz Minhas,Nur Yasin Peker,Mustafa Abdullah Hakkoz et al.
Riaz Minhas et al.
Multichannel electroencephalography (EEG)-based drowsiness detection (DD) offers higher coverage but comes with increased computational demands, hardware requirements, and user discomfort, whereas single-channel devices are cost-effective a...
Analysis of anthropometric measurements in U-15 female weightlifters using Kinect camera and comparison with traditional methods [0.03%]
基于Kinect体尺测量方法在U15女子举重运动员中的应用分析及与传统测量方式的对比研究
Bülent Işik,Kenan Erdaği,Serkan Örücü et al.
Bülent Işik et al.
Anthropometric measurements are important in a wide range of areas, from athlete selection to performance analysis and medical exercise applications. With its portable and cost-effective structure, Microsoft Kinect offers significant advant...
Few-shot small vessel segmentation using a detail-preserving network enhanced by discriminator [0.03%]
基于判别器增强的细节保留网络的少样本小血管分割方法
Yan Huang,Jinzhu Yang,Qi Sun et al.
Yan Huang et al.
Accurate segmentation of small vessels, such as coronary and pulmonary arteries, is crucial for early detection and treatment of vascular diseases. However, challenges persist due to the vessel's small size, complex structures, morphologica...