Nucleus pulposus clamping procedures based on optimized material point method for surgical simulation systems [0.03%]
基于优化MPM的核钳夹过程仿真在手术模拟系统中的应用
Jianlong Ni,Jingrong Li,Zhiyuan Xie et al.
Jianlong Ni et al.
Clamping and removal of the nucleus pulposus (NP) are critical operations during transforaminal endoscopic lumbar discectomy. To meet the challenge of simulating the NP in real-time for better training output, an improved material point met...
PCRFed: personalized federated learning with contrastive representation for non-independently and identically distributed medical image segmentation [0.03%]
PCRFed：用于非独立同分布医学图像分割的对比表示个性化联合学习
Shengyuan Liu,Ruofan Zhang,Mengjie Fang et al.
Shengyuan Liu et al.
Federated learning (FL) has shown great potential in addressing data privacy issues in medical image analysis. However, varying data distributions across different sites can create challenges in aggregating client models and achieving good ...
Principal component analysis and fine-tuned vision transformation integrating model explainability for breast cancer prediction [0.03%]
结合模型可解释性的主成分分析和微调视觉变换在乳腺癌预测中的应用
Huong Hoang Luong,Phuc Phan Hong,Dat Vo Minh et al.
Huong Hoang Luong et al.
Breast cancer, which is the most commonly diagnosed cancers among women, is a notable health issues globally. Breast cancer is a result of abnormal cells in the breast tissue growing out of control. Histopathology, which refers to the detec...
Global residual stress field inference method for die-forging structural parts based on fusion of monitoring data and distribution prior [0.03%]
基于监测数据和分布先验融合的模锻件全局残余应力场反演方法
Shuyuan Chen,Yingguang Li,Changqing Liu et al.
Shuyuan Chen et al.
Die-forging structural parts are widely used in the main load-bearing components of aircrafts because of their excellent mechanical properties and fatigue resistance. However, the forming and heat treatment processes of die-forging structur...
Explainable machine learning framework for cataracts recognition using visual features [0.03%]
基于视觉特征的白内障识别的可解释机器学习框架
Xiao Wu,Lingxi Hu,Zunjie Xiao et al.
Xiao Wu et al.
Cataract is the leading ocular disease of blindness and visual impairment globally. Deep neural networks (DNNs) have achieved promising cataracts recognition performance based on anterior segment optical coherence tomography (AS-OCT) images...
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 ...