Classification of malignant/benign groups in lung cancer by machine learning and investigation of feature significance of parameters [0.03%]
机器学习在肺癌恶性/良性分组及各参数特征重要性研究中的应用
Gonul Caliskan,Emre Alatas,Sevilay Koksal et al.
Gonul Caliskan et al.
Objectives: This study aimed to apply machine learning (ML) models to enhance lung cancer (LC) classification, distinguishing malignant from benign tumors, using data from 73 patients. ...
Computed tomography body composition-based prediction of postoperative quality of life in non-small cell lung cancer patients [0.03%]
基于CT体成分的非小细胞肺癌患者术后生活质量预测模型
Chuanlin Shan,Xiaomin Sun,Degui Wang et al.
Chuanlin Shan et al.
Objectives: This paper aims to design an explainable machine learning model capable of predicting postoperative quality of life in elderly NSCLC patients by integrating CT derived body composition metrics with standard cl...
Design of a dual-route acoustic-feature and EfficientNet-B0 spectrogram-based voice-screening device for Parkinson's disease assessment [0.03%]
一种基于双通道声学特征和EfficientNet-B0频谱图的帕金森病筛查设备的设计
Wenxiang Zhou,Ziwei Yu,Shujuan Luo
Wenxiang Zhou
Objectives: Parkinson's disease (PD) can affect vocal production before severe motor symptoms become apparent. This study presents a device-oriented dual-route voice-screening framework that combines interpretable acousti...
Cortical surface-based descriptors for childhood autism classification using segmentation-guided cortical reconstruction from sMRI [0.03%]
基于皮层表面的儿童自闭症分类描述符利用sMRI引导的皮层重建得
Yu Ke,Qingliang He,Wei Jiang et al.
Yu Ke et al.
Objectives: Autism spectrum disorder (ASD) involves subtle and heterogeneous brain-structural differences that are not usually visible on routine structural magnetic resonance imaging (sMRI). This study investigated a seg...
Phase-contrast cardiac MRI assessment of aortic reservoir-flow coupling across adult age groups [0.03%]
基于相位对比心血管磁共振的主动脉库流耦合年龄差异研究
Jingxin Lv,Yuguang Ye,Taisheng Zeng et al.
Jingxin Lv et al.
Objectives: Diameter-based aortic assessment does not fully describe interactions among adult aortic remodeling, stroke-volume input, and regional flow organization. This paper aims to assess phase-contrast cardiac MRI of...
Phase-contrast MRI assessment of the thoracic aortic wall shear stress association with ascending aortic progression [0.03%]
相位对比磁共振成像评估胸主动脉壁切应力与升主动脉瘤扩张的关系
Yuguang Ye,Taisheng Zeng,Yusi Chen et al.
Yuguang Ye et al.
Objectives: Ascending aortic growth in BAV varies widely, and baseline diameter insufficiently predicts individual risk; we assessed whether abnormal regional WSS surface burden relates to later AAo enlargement during lon...
Cardiovascular 4D Flow MRI for multidirectional hemodynamic assessment: a single-centre observational study [0.03%]
一项关于心血管4D流MRI多方向血流动力学评估的单中心观察性研究
Yuguang Ye,Taisheng Zeng,Yusi Chen et al.
Yuguang Ye et al.
Objectives: To evaluate the feasibility and clinical utility of cardiovascular four-dimensional flow magnetic resonance imaging (4D Flow MRI) for multidirectional hemodynamic visualization and quantitative assessment. ...
State-based prognostics with similarity enhancement for CT X-ray tubes using operational logs [0.03%]
基于相似性增强的状态基CT-X射线管剩余寿命预测方法研究
Changjun Chen,Xiangjie Wang,Linze Qian et al.
Changjun Chen et al.
Objectives: The tube is a core component of the CT system and is characterized by high cost and limited lifespan. This study aims to develop a method for estimating the remaining useful life (RUL) of CT X-ray tubes withou...
Evaluating FlexTail: a wearable device for spinal posture tracking [0.03%]
评估FlexTail：一种用于脊柱姿态跟踪的可穿戴设备
Arwed Masch,Jonas Walkling,Luca Sander et al.
Arwed Masch et al.
Objectives: Accurate, continuous spinal posture tracking is critical for understanding musculoskeletal disorders and developing personalized treatment. However, current solutions are costly, obtrusive, or insufficiently a...
Data-scarce transfer learning fusion for positron emission tomography and computed tomography guided lung biopsy [0.03%]
基于正电子发射断层扫描和计算机断层扫描引导的肺活检的数据匮乏的迁移学习融合技术
Feng Chen,Yunlei Pan,Yuan Fang et al.
Feng Chen et al.
Objectives: We developed a transfer learning-based multimodal fusion deep learning model integrating positron emission tomography/computed tomography (PET/CT) and procedural CT to support CT-guided percutaneous lung lesio...