Publisher Correction to: Sensitivity improvement of a deuterium-deuterium neutron generator based in vivo neutron activation analysis (IVNAA) system [0.03%]
订正：基于体内中子活化分析（IVNAA）系统的氘-氘中子发生器灵敏度改进
Song Yue,Sana Tabbassum,Elizabeth Helen Jaye et al.
Song Yue et al.
Published Erratum
Physical and engineering sciences in medicine. 2024 Nov 14. DOI:10.1007/s13246-024-01497-8 2024
CT scatter spectra transmission data of 80, 100, 120 and 140 kVp primary beams for various shielding materials [0.03%]
不同屏蔽材料下80、100、120和140kV管电压的CT散射光谱传输数据
S M Edwards
S M Edwards
The shielding of computed tomography (CT) suites has commonly relied on the assumption that the primary beam has the same beam quality and thus penetrability as the scattered radiation. This report expands on a preliminary work that showed ...
Improvement of plan quality in whole-breast radiation following BCS using feasibility DVH by less-experienced planners [0.03%]
利用剂量体积直方图可行性分析改进乳腺癌保乳术后全乳放疗计划质量
Yun Zhang,Yuling Huang,Mingming Luo et al.
Yun Zhang et al.
Variability in plan quality of radiotherapy is commonly attributed to the planner's skill rather than technological parameters. While experienced planners can set reasonable parameters before optimization, less experienced planners face cha...
Re-evaluation of [Formula: see text] F-FDG absorbed and effective dose in adult and pediatric phantoms using DoseCalcs Monte Carlo platform: a validation study [0.03%]
基于DoseCalcs蒙特卡洛平台成人和儿童体模吸收及有效剂量的[公式：见正文]F-FDG再评价：一项验证研究
Tarik El Ghalbzouri,Tarek El Bardouni,Jaafar El Bakkali et al.
Tarik El Ghalbzouri et al.
Positron emission tomography (PET) using 18 F-FDG is a well-known modality for the diagnosis of various diseases in patients of different ages, sexes, and states of health, which implies that internal radiation dosimetry is highly desire...
Improving deep learning U-Net++ by discrete wavelet and attention gate mechanisms for effective pathological lung segmentation in chest X-ray imaging [0.03%]
基于离散小波及注意力门控机制改进的深层学习U-Net++在胸部X线影像病理性肺分割中的应用研究
Faiçal Alaoui Abdalaoui Slimani,M&#x;hamed Bentourkia
Faiçal Alaoui Abdalaoui Slimani
Since its introduction in 2015, the U-Net architecture used in Deep Learning has played a crucial role in medical imaging. Recognized for its ability to accurately discriminate small structures, the U-Net has received more than 2600 citatio...
Sensitivity improvement of a deuterium-deuterium neutron generator based in vivo neutron activation analysis (IVNAA) system [0.03%]
基于体内中子活化分析（IVNAA）系统的氘氘中子发生器灵敏度改进研究
Song Yue,Sana Tabbassum,Elizabeth Helen Jaye et al.
Song Yue et al.
Our lab has been developing a deuterium-deuterium (DD) neutron generator-based neutron activation analysis (NAA) system to quantify metals and elements in the human body in vivo. The system has been used to quantify metals such as manganese...
Investigating 4D respiratory cone-beam CT imaging for thoracic interventions on robotic C-arm systems: a deformable phantom study [0.03%]
针对机器人C形臂系统胸部介入的四维呼吸调控锥束CT成像研究：基于可变形体模的实验
Tess Reynolds,Owen Dillon,Yiqun Ma et al.
Tess Reynolds et al.
Increasingly, interventional thoracic workflows utilize cone-beam CT (CBCT) to improve navigational and diagnostic yield. Here, we investigate the feasibility of implementing free-breathing 4D respiratory CBCT for motion mitigated imaging i...
Unsupervised generative model for simulating post-operative double eyelid image [0.03%]
一种模拟双眼皮术后图像的无监督生成模型
Renzhong Wu,Shenghui Liao,Peishan Dai et al.
Renzhong Wu et al.
Simulating the outcome of double eyelid surgery is a challenging task. Many existing approaches rely on complex and time-consuming 3D digital models to reconstruct facial features for simulating facial plastic surgery outcomes. Some recent ...
Quality management of head and neck patient treatments using statistical process control techniques [0.03%]
基于统计过程控制的头颈肿瘤患者治疗质量管理研究
Michael J Sandford,Jared G Steel,Josie R Goodworth et al.
Michael J Sandford et al.
The treatment, planning, simulation, and setup of radiotherapy patients contain many processes subject to errors involving both staff and equipment. Cone-beam-CT (CBCT) provides a final check of patient positioning and corrections based on ...
PET/CT-based 3D multi-class semantic segmentation of ovarian cancer and the stability of the extracted radiomics features [0.03%]
基于PET/CT的卵巢癌三维多类语义分割及提取影像组学特征的稳定性
Mohammad Hossein Sadeghi,Sedigheh Sina,Mehrosadat Alavi et al.
Mohammad Hossein Sadeghi et al.
Accurate segmentation of ovarian cancer (OC) lesions in PET/CT images is essential for effective disease management, yet manual segmentation for radiomics analysis is labor-intensive and time-consuming. This study introduces the application...