Dual-energy CT-based virtual monoenergetic imaging via unsupervised learning [0.03%]
基于无监督学习的双能CT虚拟单色成像
Chi-Kuang Liu,Hui-Yu Chang,Hsuan-Ming Huang
Chi-Kuang Liu
Since its development, virtual monoenergetic imaging (VMI) derived from dual-energy computed tomography (DECT) has been shown to be valuable in many clinical applications. However, DECT-based VMI showed increased noise at low keV levels. In...
Establishing facility reference levels and comparing to international diagnostic reference levels in paediatric general X-ray [0.03%]
建立儿童普通X射线检查的医疗机构参考剂量值并与国际诊断参考水平比较
Samuel M Lilli,Amanda A Perdomo
Samuel M Lilli
Diagnostic Reference Levels (DRLs) can be used to assess the radiation exposure for specific protocols and identify areas of potential optimisation. Despite paediatric general X-ray (GXR) being a relatively low dose modality, due to the hig...
Eye-blink artifact removal in single-channel electroencephalogram using K-means and Savitzky Golay-singular Spectrum Analysis hybrid technique [0.03%]
基于K-均值和Savitzky–Golay奇异谱分析的单通道脑电眼动伪迹去除方法
Suresh Babu Cherukuri,Sabitha Ramakrishnan
Suresh Babu Cherukuri
Electroencephalogram (EEG) acquisition systems are used to record the neural condition of humans for diagnosing various neural problems. The eye-blink or Electrooculogram (EOG) artifact caused by eye-lid movements, influences the EEG signal...
Efficient feature extraction using light-weight CNN attention-based deep learning architectures for ultrasound fetal plane classification [0.03%]
基于轻量级CNN注意力的深度学习架构的高效特征提取在超声胎儿切面分类中的应用研究
Arrun Sivasubramanian,Divya Sasidharan,V Sowmya et al.
Arrun Sivasubramanian et al.
Ultrasound fetal imaging is beneficial to support prenatal development because it is affordable and non-intrusive. Nevertheless, fetal plane classification (FPC) remains challenging and time-consuming for obstetricians since it depends on n...
Comparison of the air kerma standards of ARPANSA, Australia, and the IAEA in RQR, RQA, and RQT diagnostic X-ray beams [0.03%]
澳大利亚ARPANSARQR、RQA和RQT诊断X射线束空气比释动能国家标准与IAEA标准的等效性研究
Kam L Lee,Zakithi Msimang,Duncan Butler et al.
Kam L Lee et al.
A comparison of air kerma standards between the Australian Radiation Protection and Nuclear Safety Agency (ARPANSA) and the International Atomic Energy Agency (IAEA) was carried out for the RQR, RQA and RQT radiation qualities (as prescribe...
Improvement of lung nodule visibility using one-shot dual-energy subtraction chest radiography with dual-layer flat-panel detector: a phantom study [0.03%]
采用双层平板探测器单次曝光能量减影胸部摄影改善肺结节可见性的模型研究
Shinya Takarabe,Taku Kuramoto,Yui Kanzaki et al.
Shinya Takarabe et al.
Chest x-ray imaging is widely used for the diagnosis of chest diseases but has low sensitivity for detecting pulmonary nodules due to anatomical overlaps. Dual-energy subtraction (DES) imaging can improve nodule visibility by reducing bone ...
Exposure index and radiographic noise of an indirect flat-panel detector system for various X-ray beam qualities [0.03%]
一种间接平板探测器系统在不同X射线束质量下的曝光指数和射线照相噪声研究
Nobukazu Tanaka,Yongsu Yoon
Nobukazu Tanaka
In digital radiography (DR) systems, the sensitivity index, also known as the exposure indicator, exhibits unique behavior, depending on the manufacturer. The exposure index (EI) was introduced by the International Electrotechnical Commissi...
A novel multimodal computer-aided diagnostic model for pulmonary embolism based on hybrid transformer-CNN and tabular transformer [0.03%]
一种基于混合变压器-CNN和表格变压器的肺栓塞新型多模态计算机辅助诊断模型
Wei Zhang,Yu Gu,Hao Ma et al.
Wei Zhang et al.
Pulmonary embolism (PE) is a life-threatening clinical problem where early diagnosis and prompt treatment are essential to reducing morbidity and mortality. While the combination of CT images and electronic health records (EHR) can help imp...
In response to the topical debate: in Australia professional registration for qualified medical physicists should be mandated through the Australian Health Practitioner Regulation Agency (AHPRA), and the associated letter to the editor in response [0.03%]
针对专题辩论的回应：澳大利亚应通过澳大利亚卫生从业者监管机构(AHPRA)对合格医学物理师进行专业注册，以及相关的致编辑信件
Sivananthan Sarasanandarajah
Sivananthan Sarasanandarajah
Estimating brain effective connectivity from time series using recurrent neural networks [0.03%]
利用循环神经网络从时间序列估计大脑有效连接性
Peishan Dai,Zhuang He,Yilin Ou et al.
Peishan Dai et al.
Effective Connectivity (EC) reflects the causal influence between brain regions. Identifying Effective Connectivity Networks (ECN) in the brain can enhance our understanding of brain functions and reveal the impact of mental illnesses on th...