Clinical image analysis to build patient-specific models of acute ischemic stroke patients [0.03%]
基于临床图像的急性缺血性卒中患者个体建模研究
Virginia Fregona,Ilaria Bottini,Sara Barati et al.
Virginia Fregona et al.
Mechanical thrombectomy (MT) is an emergency treatment for acute ischemic stroke (AIS) to remove a clot occluding a large cerebral vessel. Histological analysis on retrieved thrombi have shown that they are mainly composed of red blood cell...
FHESA: fourier decomposition and hilbert transform based EEG signal analysis for Alzheimer's disease detection [0.03%]
基于傅里叶分解及希尔伯特变换的阿尔茨海默病EEG信号分析方法
Kavita Bhatt,N Jayanthi,Manjeet Kumar
Kavita Bhatt
Alzheimer's Disease (AD) is a chronic neurological disorder that impairs the cognitive and behavioral abilities of older people. Early detection and treatment are crucial for minimizing the progression of the disease. Electroencephalogram (...
Accuracy of surface-guided radiotherapy-based positioning and surface tracking in breast radiotherapy using a thermo-optical camera system [0.03%]
基于表面引导的放射治疗定位和使用热光相机系统的乳腺癌放疗表面追踪精度
Hiroki Katayama,Yosuke Takahashi,Motonori Kitaoka et al.
Hiroki Katayama et al.
This study aimed to evaluate the accuracy of surface-guided radiotherapy (SGRT)-based positioning and surface tracking in breast radiotherapy using the ExacTrac Dynamic (ETD). We retrospectively evaluated 16 patients who underwent breast ca...
A multi-institutional survey on radiosurgery for multiple brain metastases in Latin America [0.03%]
拉丁美洲多机构立体定向放射治疗多发脑转移瘤调查研究
José Alejandro Rojas-López,Mariluz De Ornelas,Miguel Ángel Chesta et al.
José Alejandro Rojas-López et al.
Disparity in the delivery of stereotactic radiosurgery (SRS) treatment for multiple intracranial lesions has been observed in six countries in Latin America. Moreover, no consensus exists on tumor margins for these treatments. This work aim...
SAFNet: a spatial adaptive fusion network for dual-domain undersampled MRI reconstruction [0.03%]
SAFNet：一种新的空间自适应融合网络，用于双域欠采样MRI重建
Yingjie Huo,Hongyuan Zhang,Dan Ge et al.
Yingjie Huo et al.
Undersampled magnetic resonance imaging (MRI) reconstruction reduces scanning time while preserving image quality, improving patient comfort and clinical efficiency. Current parallel reconstruction strategies leverage k-space and image doma...
3D CoAt U SegNet-enhanced deep learning framework for accurate segmentation of acute ischemic stroke lesions from non-contrast CT scans [0.03%]
基于3D CoAtU-SegNet的急性缺血性卒中病变自动分割深度学习框架
Manas K Nag,Anup K Sadhu,Samiran Das et al.
Manas K Nag et al.
Segmenting ischemic stroke lesions from Non-Contrast CT (NCCT) scans is a complex task due to the hypo-intense nature of these lesions compared to surrounding healthy brain tissue and their iso-intensity with lateral ventricles in many case...
Repeatability of diffusion and perfusion MRI derived radiomic features in glioblastoma: a test-retest study [0.03%]
基于胶质母细胞瘤扩散张量和灌注MRI影像组学特征的重复性研究
Philip Martin,Lois Holloway,Peter Metcalfe et al.
Philip Martin et al.
An understanding of the repeatability of imaging biomarkers is key to their implementation as clinical tools. In this study we calculate the repeatability and inter-correlation of radiomic features derived from quantitative MRI (qMRI) of Gl...
Comparative analysis of eMC algorithm dose calculations using GATE validation: impact of tissue heterogeneity on electron beam dosimetry [0.03%]
基于GATE验证的eMC算法剂量计算比较分析：组织非均匀性对电子束剂量学的影响
Mohammed Rezzoug,Mustapha Zerfaoui,Yassine Oulhouq et al.
Mohammed Rezzoug et al.
Purpose: Electron beam radiotherapy is a crucial modality for treating superficial tumors. Accurate dose calculation is essential for treatment efficacy and minimizing side effects. While Monte Carlo (MC) simulations are ...
Identifying suspicious naevi with dermoscopy via variational autoencoder auxiliary generative classifiers [0.03%]
利用变分自编码器辅助生成分类器进行皮肤镜可疑痣识别
Fatima Al Zegair,Brigid Betz-Stablein,Monika Janda et al.
Fatima Al Zegair et al.
A naevus is a benign melanocytic skin tumour made up of naevus cells, characterised by variations in size, shape, and colour. Understanding naevi is essential due to their significant role as markers for the risk of developing melanoma. Thi...
Ecg-based arrhythmia classification using discrete wavelet transform and attention-enhanced CNN-BiGRU model [0.03%]
基于离散小波变换和注意力增强的CNN-BiGRU模型的心律失常分类方法研究
Xiaosong He,Chuanli Hu,Kai Ma et al.
Xiaosong He et al.
Electrocardiogram (ECG)-based arrhythmia classification is crucial for the early detection and diagnosis of cardiovascular diseases. However, the presence of noise in raw ECG signals presents significant challenges to classification perform...