Comparative characterisation of different types of Gafchromic films for radiotherapy use [0.03%]
不同类型Gafchromic薄膜的比较研究用于放射治疗
Tarafder Shameem,Nick Bennie,Martin Butson et al.
Tarafder Shameem et al.
Different types of Gafchromic films, for radiotherapy use, are recommended for different dose ranges. Ashland Specialty Ingredients has aimed to continuously develop its products to improve their practical application. Thus, EBT3 was replac...
Automated multiclass segmentation of liver vessel structures in CT images using deep learning approaches: a liver surgery pre-planning tool [0.03%]
基于深度学习的CT图像肝脏血管结构多类别分割及应用研究
Sahar Sarkar,Mahdiyeh Rahmani,Parastoo Farnia et al.
Sahar Sarkar et al.
Accurate liver vessel segmentation is essential for effective liver surgery pre-planning, and reducing surgical risks since it enables the precise localization and extensive assessment of complex vessel structures. Manual liver vessel segme...
Dean Wallace,Mikel Byrne,Kelvin Hiscoke et al.
Dean Wallace et al.
There are several commercial quality assurance (QA) software solutions for use in radiotherapy, but currently none are fully integrated with the existing c-arm linear accelerators. MaximQA (Varian Medical Systems, Inc. Palo Alto, CA) is a s...
Development and characterisation of a high-sensitivity X-ray CT polymer gel dosimeter [0.03%]
高灵敏度X射线CT聚合凝胶剂量计的开发与表征
Jonathon Lexor Lumley,Pejman Rowshanfarzad,Mounir Ibrahim et al.
Jonathon Lexor Lumley et al.
Polymer gel dosimeters have shown potential for clinical 3D dosimetry; however, their use has been limited due to low sensitivity and reliance on scarcely available magnetic resonance imaging. This study aimed to optimise a PASSAG (Poly AMP...
A novel UNet-SegNet and vision transformer architectures for efficient segmentation and classification in medical imaging [0.03%]
一种新颖的UNet-SegNet和视觉变换器架构，用于医学影像中的高效分割和分类
Simon Tongbram,Benjamin A Shimray,Loitongbam Surajkumar Singh
Simon Tongbram
Medical imaging has become an essential tool in the diagnosis and treatment of various diseases, and provides critical insights through ultrasound, MRI, and X-ray modalities. Despite its importance, challenges remain in the accurate segment...
Optimization of three-dimensional T2-weighted image sequences in female pelvic magnetic resonance imaging [0.03%]
女性盆腔磁共振T2加权三维图像序列的优化
Yasuo Takatsu,Atsushi Ikemoto,Takanobu Yamashiro et al.
Yasuo Takatsu et al.
This study aimed to characterize T2-weighted fast spin-echo three-dimensional (3D) magnetic resonance images (MRI) by using variable refocusing angle (VRFA) in female pelvic organs and to extract clinically relevant parameters. A 3T MRI sys...
Toward accurate estimation of respiratory rate from the photoplethysmogram: effect of different window period of PPG signals [0.03%]
基于光电容积脉搏波信号窗口长度的呼吸率准确估计方法研究
M S Ganeshmurthy,R Periyasamy,Deepak Joshi
M S Ganeshmurthy
Respiration Rate (RR) is a crucial physiological measure for evaluating health and detecting early signs of respiratory distress in both clinical and home settings. Traditional RR estimation methods often require specialized equipment, wher...
Functional division of the prefrontal lobe of the brain: coordinate-based neuroimaging meta-analysis [0.03%]
基于坐标的人脑前额叶的功能分区的神经影像学 Meta 分析
Jiaofen Nan,Kaifan Zhang,Beike Chen et al.
Jiaofen Nan et al.
The prefrontal cortex (PFC) is known to play a crucial role in the complex process of human cognition such as emotion, memory, value and decision-making, and reward. However, the current functional subregion division is too coarse and the s...
Thoracic staging of lung cancers by 18FDG-PET/CT: impact of artificial intelligence on the detection of associated pulmonary nodules [0.03%]
人工智能对肺癌分期显像伴发肺结节检出的影响:基于18F-FD PET/CT影像的诊断性能分析研究
Mariem Trabelsi,Hamida Romdhane,Dorra Ben-Sellem
Mariem Trabelsi
This study focuses on automating the classification of certain thoracic lung cancer stages in 3D 18FDG-PET/CT images according to the 9th Edition of the TNM Classification for Lung Cancer (2024). By leveraging advanced segmentation and clas...
The predictive power of hemodynamic data on postoperative neurocognitive impairment: a logistic regression and random forest approach [0.03%]
基于逻辑回归和随机森林的血流动力学数据对术后神经认知障碍预测价值的研究
Faruk Sanberk Kiziltas,Ozhan Ozkan,Fatih Toptan et al.
Faruk Sanberk Kiziltas et al.