Enhancing percutaneous coronary intervention using TriVOCTNet: a multi-task deep learning model for comprehensive intravascular optical coherence tomography analysis [0.03%]
基于全面血管内光学相干断层扫描分析的多任务深度学习模型TriVOCTNet在经皮冠状动脉介入治疗中的应用研究
Yu Shi Lau,Li Kuo Tan,Kok Han Chee et al.
Yu Shi Lau et al.
Neointimal coverage and stent apposition, as assessed from intravascular optical coherence tomography (IVOCT) images, are crucial for optimizing percutaneous coronary intervention (PCI). Existing state-of-the-art computer algorithms designe...
[113mIn]In-RM2: a high potential agent for SPECT imaging of GRPR-expressing tumors [0.03%]
一种高潜力的SPECT显影剂用于GRPR阳性肿瘤的显影(In-RM2)
Saeid Ranjbar,Seyed Mahmoud Reza Aghamiri,Saeed Rajabifar et al.
Saeid Ranjbar et al.
Gastrin-releasing peptide receptors (GRPRs) overexpressed in many cancers are known as promising biomarkers to target tumors such as prostate, breast, and lung cancers. As the early diagnosis of the cancers can serve for better treatment of...
Fabrication of 3D printed hollow spheres for quality control and feasibility for use with xSPECT bone [0.03%]
用于xSPECT骨质量控制和可行性的3D打印空心球的制作
Tuyet Oanh Lam,Andy Young
Tuyet Oanh Lam
Quantitative accuracy and constancy of Siemens xSPECT Bone quantitative reconstruction algorithm (xBone) can be monitored using activity-filled hollow spheres, which could be 3D printed (3DP) to increase accessibility to phantoms. One conce...
Noninvasive machine-learning models for the detection of lesion-specific ischemia in patients with stable angina with intermediate stenosis severity on coronary CT angiography [0.03%]
基于冠状动脉CT造影非侵入性机器学习模型用于检测稳定型心绞痛患者中度狭窄病变特异性缺血诊断价值的研究
Hiroshi Hamasaki,Hidetaka Arimura,Yuzo Yamasaki et al.
Hiroshi Hamasaki et al.
This study proposed noninvasive machine-learning models for the detection of lesion-specific ischemia (LSI) in patients with stable angina with intermediate stenosis severity based on coronary computed tomography (CT) angiography. This sing...
A novel approach in MRI signal processing for unveiling the intricacies of brain axonal organization [0.03%]
一种新的磁共振信号处理方法用于揭示大脑轴突组织的复杂性
Ashishi Puri,Sanjeev Kumar
Ashishi Puri
This article introduces an innovative methodology to unveil the intricacies of white matter fiber pathways in the brain using diffusion MRI. Relying on the rationale that traditional methods observe a significant decrease in signal intensit...
Validating knowledge-based volumetric modulated arc therapy plans with a multi-institution model (broad model) using a complete open-loop dataset for prostate cancer [0.03%]
使用完整开环数据集验证知识型体积调强弧形治疗计划（前列腺癌的多机构模型（广泛模型））
Takaaki Ito,Kazuki Kubo,Ryuta Nakahara et al.
Takaaki Ito et al.
This study examined the characteristics of the broad model (KBPbroad) through a complete open-loop evaluation of volumetric modulated arc therapy (VMAT) plans for prostate cancer in 30 patients at two institutions. KBPbroad, trained using 5...
Performance improvements of virtual monoenergetic images in photon-counting detector CT compared with dual source dual-energy CT: Fourier-based assessment [0.03%]
傅里叶变换分析对比双源双能量CT虚拟单能谱CT的优势
Hiroki Kawashima,Katsuhiro Ichikawa,Ryoichi Yoshida et al.
Hiroki Kawashima et al.
To confirm the performance improvement of virtual monoenergetic images (VMIs) for iodine contrast tasks in a clinical photon-counting detector CT (PCD CT) using Fourier-based assessment, compared with those in the latest-generation dual-sou...
Seyide Tugce Gokdeniz,Arda Buyuksungur,Mehmet Eray Kolsuz
Seyide Tugce Gokdeniz
The aim is to obtain a heterogenous bone radiopacity phantom with adjustable radiopacity in different regions. The heterogenous 3D printed phantom can be used as bone equivalent in medical education, surgical planning, diagnostic radiology,...
Application of dielectric properties for identification of normal and malignant gastrointestinal tumors and lymph nodes ex vivo [0.03%]
用于识别正常和恶性胃肠道肿瘤和淋巴结的介电性质的应用（离体）
Xi Rao,Qianyun Chen,Lishan Ding et al.
Xi Rao et al.
A need exists for a quick, simple method to accurately assess resection margins and lymph node metastases in gastrointestinal cancer surgeries. We aimed to develop a real-time, non-destructive technique to differentiate between normal and c...
Frontal EEG correlation based human emotion identification and classification [0.03%]
基于 frontal eeg 相关的人类情绪识别与分类
S V Thiruselvam,M Ramasubba Reddy
S V Thiruselvam
Humans express their feelings and intentions of their actions or communication through emotions. Recent advancements in technology involve machines in human communication in day-to-day life. Thus, understanding of human emotions by machines...