DP-CLAM: A weakly supervised benign-malignant classification study based on dual-angle scanning ultrasound images of thyroid nodules [0.03%]
基于双视角超声图像的甲状腺结节良性恶性弱监督分类研究
Shuhuan Wang,Shuangqingyue Zhang,Lingmin Liao et al.
Shuhuan Wang et al.
In this paper, a two-stage task weakly supervised learning algorithm is proposed. It accurately achieved patient-level classification task of benign and malignant thyroid nodules based on ultrasound images from two scanning angles: long axi...
MSRMMP: Multi-scale residual module and multi-layer pseudo-supervision for weakly supervised segmentation of histopathological images [0.03%]
MSRMMP：用于组织病理图像弱监督分割的多尺度残差模块和多层伪监督
Yuanchao Xue,Yangsheng Hu,Yu Yao et al.
Yuanchao Xue et al.
Accurate semantic segmentation of histopathological images plays a crucial role in accurate cancer diagnosis. While fully supervised learning models have shown outstanding performance in this field, the annotation cost is extremely high. We...
Improved U-Net based on ResNet and SE-Net with dual attention mechanism for glottis semantic segmentation [0.03%]
基于ResNet和具有双注意力机制的SE-Net改进U-Net进行声门语义分割
Jui-Chung Ni,Shih-Hsiung Lee,Yen-Cheng Shen et al.
Jui-Chung Ni et al.
In previous tasks of glottis image segmentation, the position attention mechanism was rarely incorporated, neglecting the detailed information in glottis position detection. Aiming to improve the U-Net architecture, this study introduces th...
Impact testing methods to simulate head impacts due to falls from standing height [0.03%]
模拟从站立高度跌落导致头部受伤的冲击测试方法
Morteza Seidi,Vincent Caccese,Marzieh Memar
Morteza Seidi
Fall is one of the leading causes of traumatic brain injury (TBI), and thus, there is an increasing interest in validated tools and protective devices to prevent fall-related TBI. Developing head protective technologies for fall requires a ...
Fluid-structure interaction simulations for the prediction of fractional flow reserve in pediatric patients with anomalous aortic origin of a coronary artery [0.03%]
用于预测患有冠状动脉异常起源于主动脉的儿科患者的分数血流贮备的流体结构相互作用仿真
Charles Puelz,Craig G Rusin,Dan Lior et al.
Charles Puelz et al.
Computer simulations of blood flow in patients with anomalous aortic origin of a coronary artery (AAOCA) have the promise to provide insight into this complex disease. They provide an in silico experimental platform to explore possible mech...
Benchmarking 2D human pose estimators and trackers for workflow analysis in the cardiac catheterization laboratory [0.03%]
心脏导管实验室工作流程分析中二维人体姿态估计器和跟踪器的基准测试
Rick M Butler,Emanuele Frassini,Teddy S Vijfvinkel et al.
Rick M Butler et al.
Workflow insights can improve efficiency and safety in the Cardiac Catheterization Laboratory (Cath Lab). As manual analysis is labor-intensive, we aim for automation through camera monitoring. Literature shows that human poses are indicati...
Semi-supervised medical image segmentation with dual-branch mixup-decoupling confidence training [0.03%]
基于双分支解耦置信度训练的半监督医学图像分割方法
Jianwu Long,Yuanqin Liu,Yan Ren
Jianwu Long
Semi-supervised medical image segmentation algorithms hold significant research and practical value due to their ability to reduce labeling dependency and annotation costs. However, most current algorithms lack diverse regularization method...
Investigating the course and predictors of desire to void based on heart rate variability [0.03%]
基于心率变异性的排尿欲望的课程和预测研究
Shulian Tan,Yi Tang,Ping Shi
Shulian Tan
Urinary incontinence is closely related to the motor ability and toileting tasks. Some nursing home residents with limited mobility who cannot reach the bathroom in time highly depend on caregivers for toileting assistance. However, nursing...
Mathematical representation and nonlinear modelling of the Wheatley mitral valve [0.03%]
Wheatley二尖瓣的数学表示及非线性建模
H L Oliveira,G C Buscaglia,J A Cuminato et al.
H L Oliveira et al.
This study is concerned with the Wheatley design of the mitral valve. A mathematical description, in terms of elementary functions, is provided for the S-shaped leaflets. This is based on a level set containing symmetric circles (or more ge...
Low-cost graphite and double-gate FET-based label-free biosensor for dopamine sensing to detect neural diseases [0.03%]
用于检测神经疾病的基于低成本石墨和双栅FET的无标记生物传感器的多巴胺传感
Deepti,Anirban Kolay,Subrata Majumder et al.
Deepti et al.
The manuscript proposes biosensors for detecting different concentrations of neurotransmitters named dopamine, which have a critical role in the human body's neurological, hormonal, and renal systems. In this work, the primary focus is to d...