Data-driven segmentation of type 2 diabetes mellitus patients: an observational study on health care utilisation prior to an emergency department visit in Germany [0.03%]
基于数据二型糖尿病患者细分组：一项关于德国急诊就诊前医疗卫生利用的观察性研究
Mirjam Rupprecht,Alessandro Campione,Yves Noel Wu et al.
Mirjam Rupprecht et al.
Background: Potentially avoidable hospital admissions (PAHs) due to type 2 diabetes mellitus (T2DM) occur more frequently in Germany than in the rest of Europe. Emergency departments (EDs) play an important role in unders...
A Co-Segmentation Algorithm to Predict Emotional Stress From Passively Sensed mHealth Data [0.03%]
基于被动感知的移动健康数据预测情绪压力的共分割算法
Younghoon Kim,Sumanta Basu,Samprit Banerjee
Younghoon Kim
Our findings indicate that the data-driven segmentation algorithm identifies stress periods more accurately than traditional ML methods that do not incorporate segmentation.
Development of a deep learning method for phase retrieval image enhancement in phase contrast microcomputed tomography [0.03%]
相位对比微CT中用于相位恢复图像增强的深度学习方法研究
Xiao Fan Ding,Xiaoman Duan,Naitao Li et al.
Xiao Fan Ding et al.
The efficiency in segmentation allowed for the generation of a sizeable database of segmented hydrogel scaffolds which were used in conventional data-driven segmentation applications.
Robust data-driven segmentation of pulsatile cerebral vessels using functional magnetic resonance imaging [0.03%]
基于功能性磁共振图像的搏动性脑血管鲁棒数据划分方法
Adam M Wright,Tianyin Xu,Jacob Ingram et al.
Adam M Wright et al.
Functional magnetic resonance imaging (fMRI) captures rich physiological and neuronal information, offering insight into neurofluid dynamics, vascular health and waste clearance. Accurate cerebral vessel segmentation could greatly facilitat...
Multimodal Data-Driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans Using Deep Learning [0.03%]
基于深度学习的SPECT骨扫描中骨转移病灶的多模态数据驱动分割方法研究
Xiaoqiang Ma,Qiang Lin,Sihan Guo et al.
Xiaoqiang Ma et al.
Objective: To enhance the performance of deep learning-based segmentation models, we integrate textual data from diagnostic reports with SPECT bone scans, aiming to develop an automated analysis method that outperforms purely unimodal data-driven segmentation models.
Robust data-driven segmentation of pulsatile cerebral vessels using functional magnetic resonance imaging [0.03%]
基于功能磁共振图像的搏动性脑血管鲁棒分割方法
Adam M Wright,Tianyin Xu,Jacob Ingram et al.
Adam M Wright et al.
Functional magnetic resonance imaging (fMRI) captures rich physiological and neuronal information that can offer insights into neurofluid dynamics, vascular health, and waste clearance function. The availability of cerebral vessel segmentat...
How predictive of future healthcare utilisation and mortality is data-driven population segmentation based on healthcare utilisation and chronic condition comorbidity? [0.03%]
基于医疗保健利用和慢性疾病合并症的基于数据的人群划分对未来医疗保健利用和死亡率的预测能力如何？
Andrea Gartner,Rhian Daniel,Ciarán Slyne et al.
Andrea Gartner et al.
This study aimed to assess the ability of data-driven segmentation based on health care utilisation and comorbidities to predict future outcomes: Emergency admission, A&E attendance, GP practice contacts, and mortality.
Understanding voluntary human movement variability through data-driven segmentation and clustering [0.03%]
基于数据驱动的方法理解自愿的人体运动变化性
Jean-Francois Daneault,Brandon Oubre,Jose Garcia Vivas Miranda et al.
Jean-Francois Daneault et al.
Recently, we proposed a novel approach where movements are decomposed into sub-segments, termed movement elements. This approach, to date, provides a robust construct of how the brain may generate simple as well as complex movements. Here, ...
Model-based parcellation of diffusion MRI of injured spinal cord predicts hand use impairment and recovery in squirrel monkeys [0.03%]
基于模型的分割扩散MRI以划分受伤脊髓并预测松鼠猴的手部使用障碍及恢复情况
Isaac V Manzanera Esteve,Feng Wang,Jamie L Reed et al.
Isaac V Manzanera Esteve et al.
Our three tissue pool model provided unbiased, data-driven segmentation of spinal cord images and identified DTI metrics that can serve as reliable biomarkers of severity of spinal cord injuries and predictors of behavioral outcomes.
A new dataset of oral panoramic x-ray images and parallel network using transformers for medical image segmentation [0.03%]
一种新的口腔全景X光图像数据集及用于医学图像分割的并行网络变压器模型
Peng Chen,Jianguo Zhang,Yichuan Jiang et al.
Peng Chen et al.
In data-driven segmentation methods, corresponding datasets are often required. Due to the limited oral data set at present, there is a bottleneck in clinical application.
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