Harmonized technical standard test methods for quality evaluation of medical fluorescence endoscopic imaging systems [0.03%]
医用荧光内镜成像系统质量评价 标准测试方法协调技术规范
Bodong Liu,Zhaojun Guo,Pengfei Yang et al.
Bodong Liu et al.
Fluorescence endoscopy technology utilizes a light source of a specific wavelength to excite the fluorescence signals of biological tissues. This capability is extremely valuable for the early detection and precise diagnosis of pathological...
Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images [0.03%]
乳腺癌诊断的进步：用于加速并准确分类组织病理学图像的标记视觉变换器
Mouhamed Laid Abimouloud,Khaled Bensid,Mohamed Elleuch et al.
Mouhamed Laid Abimouloud et al.
The vision transformer (ViT) architecture, with its attention mechanism based on multi-head attention layers, has been widely adopted in various computer-aided diagnosis tasks due to its effectiveness in processing medical image information...
Semi-supervised contour-driven broad learning system for autonomous segmentation of concealed prohibited baggage items [0.03%]
一种半监督轮廓驱动的广义学习系统自主分割隐蔽违禁品的方法
Divya Velayudhan,Abdelfatah Ahmed,Taimur Hassan et al.
Divya Velayudhan et al.
With the exponential rise in global air traffic, ensuring swift passenger processing while countering potential security threats has become a paramount concern for aviation security. Although X-ray baggage monitoring is now standard, manual...
Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning [0.03%]
基于可融合迁移学习的大型工件激光制造能耗预测模型
Linxuan Wang,Jinghua Xu,Shuyou Zhang et al.
Linxuan Wang et al.
This study presents an energy consumption (EC) forecasting method for laser melting manufacturing of metal artifacts based on fusionable transfer learning (FTL). To predict the EC of manufacturing products, particularly from scale-down to s...
Computational analysis of variability and uncertainty in the clinical reference on magnetic resonance imaging radiomics: modelling and performance [0.03%]
磁共振影像放射组学临床参考的可变性与不确定性计算分析：模型构建及性能评估
Cindy Xue,Jing Yuan,Gladys G Lo et al.
Cindy Xue et al.
To conduct a computational investigation to explore the influence of clinical reference uncertainty on magnetic resonance imaging (MRI) radiomics feature selection, modelling, and performance. This study used two sets of publicly available ...
Rem RunGu Lin,Kang Zhang
Rem RunGu Lin
This survey examines the evolution and impact of real-time brainmedia on artistic exploration, contextualizing developments within a historical framework. To enhance knowledge on the entanglement between the brain, mind, and body in an incr...
Achieving view-distance and -angle invariance in motion prediction using a simple network [0.03%]
利用简单的网络实现运动预测中的视角变化不变性
Haichuan Zhao,Xudong Ru,Peng Du et al.
Haichuan Zhao et al.
Recently, human motion prediction has gained significant attention and achieved notable success. However, current methods primarily rely on training and testing with ideal datasets, overlooking the impact of variations in the viewing distan...
Real-time volume rendering for three-dimensional fetal ultrasound using volumetric photon mapping [0.03%]
基于体素光线映射的实时三维胎儿超声容积渲染技术
Jing Zou,Jing Qin
Jing Zou
Three-dimensional (3D) fetal ultrasound has been widely used in prenatal examinations. Realistic and real-time volumetric ultrasound volume rendering can enhance the effectiveness of diagnoses and assist obstetricians and pregnant mothers i...
Natalie Hube,Melissa Reinelt,Kresimir Vidackovic et al.
Natalie Hube et al.
Avatars play a key role in how persons interact within virtual environments, acting as the digital selves. There are many types of avatars, each serving the purpose of representing users or others in these immersive spaces. However, the opt...
Noise suppression in photon-counting computed tomography using unsupervised Poisson flow generative models [0.03%]
基于无监督泊松流生成模型的光子计数CT噪声抑制方法
Dennis Hein,Staffan Holmin,Timothy Szczykutowicz et al.
Dennis Hein et al.
Deep learning (DL) has proven to be important for computed tomography (CT) image denoising. However, such models are usually trained under supervision, requiring paired data that may be difficult to obtain in practice. Diffusion models offe...