A method in non-destructive testing for lead shielding exceeding 25 kg/m2 using 18F [0.03%]
用于检测超过25kg/m2的铅屏蔽物的非破坏性测试方法使用氟-18
Jeremy Berrell,Deborah Carrick,Jason Tse et al.
Jeremy Berrell et al.
Non-Destructive Testing (NDT) is a commonly used technique for barrier verification within radiation protection, ensuring compliance with national standards and state regulations. There are currently limited published methods in NDT for lea...
How much data do you need? An analysis of pelvic multi-organ segmentation in a limited data context [0.03%]
你需要多少数据？在有限数据背景下骨盆多器官分割的分析
Febrio Lunardo,Laura Baker,Alex Tan et al.
Febrio Lunardo et al.
Training deep learning models generally requires large, costly datasets which can limit their application towards in-house segmentation tasks. This study investigates the trade-off in dataset size within the context of pelvic multi-organ MR...
Virtual-simulation boosted neural network dose calculation engine for intensity-modulated radiation therapy [0.03%]
用于调强放疗的虚拟仿真增强型神经网络剂量计算引擎
Zirong Li,Yaoying Liu,Xuying Shang et al.
Zirong Li et al.
The Monte Carlo (MC) dose calculation method is widely recognized as the gold standard for precision in dose calculation. However, MC calculations are computationally intensive and time-consuming. This study aims to develop a neural network...
Feasibility of the 3D printer to design an intracavitary applicator for the treatment of cervical cancer patients with high dose rate brachytherapy system [0.03%]
3D打印机设计用于高剂量率近距离放疗宫颈癌患者的腔内治疗装置的可行性研究
Ankur Mourya,Lalit Mohan Aggarwal,Sunil Choudhary et al.
Ankur Mourya et al.
Designing an intracavitary brachytherapy applicator with a 3D printer using Polyamide12 for Tandem-Ovoid configuration. Further, to evaluate its feasibility and initial clinical use for the treatment of cervical cancer patients with a High ...
A lightweight 1D convolutional neural network model for arrhythmia diagnosis from electrocardiogram signal [0.03%]
一种轻量级的一维卷积神经网络模型用于心电图信号的心律失常诊断
Beaudelaire Saha Tchinda,Daniel Tchiotsop
Beaudelaire Saha Tchinda
Electrocardiogram (ECG) is used by cardiologist to diagnose heart diseases. The use of ECG signal in an artificial intelligence system can permit to automatically analyze these signals and thereby improve diagnosis quality. For this purpose...
Enhancing intrafraction position monitoring for prostate radiotherapy on a conventional linear accelerator: an optimization study [0.03%]
常规直线加速器上前列腺放射治疗的分数内位置监测改进：一项优化研究
Sankar Arumugam
Sankar Arumugam
To compare the intrafraction prostate motion monitoring capabilities between intrafraction Cone Beam Computed Tomography (IF-CBCT) and SeedTracker-based real-time monitoring, and to optimize imaging doses in real-time monitoring using the I...
Gerard Ruchin Randil Nanayakkara,Ping Yi Chan
Gerard Ruchin Randil Nanayakkara
Subclinical amplitudes complicate the differentiation between essential tremor (ET) and Parkinson's disease (PD) tremor, which is uncertain even when the tremors are apparent. Despite their prevalence-up to 30% of PD cases exhibit subclinic...
A novel method for early prediction of sudden cardiac death through nonlinear feature extraction from ECG signals [0.03%]
一种通过ECG信号非线性特征提取进行突发性心脏病预测的新方法
Fatemeh Danesh Jablo,Hamed Danandeh Hesar
Fatemeh Danesh Jablo
Sudden cardiac death (SCD) is a critical cardiovascular issue affecting approximately 3 million individuals globally each year, often occurring without prior noticeable symptoms. While the precise etiology of SCD remains elusive, ventricula...
Correction to: Transfer learning and self-distillation for automated detection of schizophrenia using single-channel EEG and scalogram images [0.03%]
Correction to：使用单通道EEG和频谱图图像进行精神分裂症自动检测的迁移学习和自蒸馏法
Mohammadreza Mostafavi,Seok-Bum Ko,Shahriar Baradaran Shokouhi et al.
Mohammadreza Mostafavi et al.
Published Erratum
Physical and engineering sciences in medicine. 2025 Feb 4. DOI:10.1007/s13246-024-01501-1 2025