B2E-CDG: Conditional diffusion-based for label-free OCT angiography artifact removal and robust vascular reconstruction [0.03%]
基于条件扩散的无标签光学相干断层血管成像伪影去除和鲁棒性血管重建方法
Jing Xu,Suzhong Fu,Jiwei Xing et al.
Jing Xu et al.
Optical Coherence Tomography Angiography (OCTA) is a revolutionary technology widely used in the diagnosis and management of fundus, skin and cardiovascular diseases. However, unavoidable movements, such as breathing, often introduce motion...
Learning Health Systems provide a glide path to safe landing for AI in health [0.03%]
学习健康系统为医疗人工智能的安全落地提供了一条清晰路径
Vasa Curcin,Brendan Delaney,Ahmad Alkhatib et al.
Vasa Curcin et al.
Artificial Intelligence (AI) holds significant promise for healthcare but often struggles to transition from development to clinical integration. This paper argues that Learning Health Systems (LHS)-socio-technical ecosystems designed for c...
Smiling difficulties in Alzheimer's disease linked to reduced nucleus accumbens and pallidum brain volume: Deep learning insights [0.03%]
阿尔茨海默病笑容障碍与伏隔核和苍白球脑体积减少有关：深度学习见解
Tomomichi Iizuka,Yumi Umeda-Kameyama,Makoto Fukasawa et al.
Tomomichi Iizuka et al.
Patients tend to lose the ability to smile during the course of dementia. However, such impairments have rarely been reported, likely due to challenges in quantifying facial expressions. However, feature extraction is now automated due to r...
Tackling data scarcity: Synthetic tumour and mask generation to improve image segmentation [0.03%]
解决数据稀缺问题：合成肿瘤和掩膜生成以改进图像分割
Félix Quinton,Benoit Presles,Romain Popoff et al.
Félix Quinton et al.
Given the increasing data requirements of deep learning models and the scarcity of medical imaging data, new data augmentation techniques are receiving particular attention. This paper explores the subfield of tumour synthesis within medica...
Seamless monitoring of stress levels leveraging a foundational model for time sequences [0.03%]
基于时间序列的基础模型进行无缝压力水平监控
Davide Gabrielli,Bardh Prenkaj,Paola Velardi
Davide Gabrielli
Background: Accurate and continuous monitoring of physiological stress is crucial, especially for patients with neurodegenerative diseases. Traditional monitoring methods, such as Electrocardiogram (ECG), are often invasi...
UniStain: A unified and organ-aware virtual H&E staining framework for label-free autofluorescence images [0.03%]
UniStain：一种统一的、基于器官的虚拟H&E染色框架用于无标签自发荧光图像
Lulin Shi,Xingzhong Hou,James K W Lai et al.
Lulin Shi et al.
While hematoxylin and eosin (H&E) staining remains the gold standard for pathological diagnosis, its chemical-dependent workflow presents significant limitations, such as time-consuming protocols, hazardous reagent disposal and batch-to-bat...
Multi-scale feature enhancement in multi-task learning for medical image analysis [0.03%]
多任务学习中的多尺度特征增强在医学图像分析中的应用
Phuoc-Nguyen Bui,Duc-Tai Le,Junghyun Bum et al.
Phuoc-Nguyen Bui et al.
Traditional deep learning approaches in medical image analysis usually focus on either segmentation or classification, which limits their ability to exploit shared information between these interrelated tasks. Recent multi-task learning (MT...
Clinical decision support system for detecting right ventricular dysfunction in acute pulmonary embolism: Explainable a new Binary Rule Search (BRS) ensembles and robustness evaluation [0.03%]
急性肺栓塞右心室功能障碍检测的临床决策支持系统：一种新型解释性二元规则搜索(BRS)集成方法及其鲁棒性评估
Mehmet Tahir Huyut,Andrei Velichko,Maksim Belyaev et al.
Mehmet Tahir Huyut et al.
Background: Right-ventricular dysfunction (RVD) in acute pulmonary embolism (PE) carries excess short-term mortality; fast, transparent risk stratification is needed. ...
Intelligent sentiment analysis with Arabic patient feedback on healthcare services in King Hussein Cancer Center [0.03%]
基于国王侯赛因癌症中心阿拉伯患者反馈的智能情感分析
Hanan Saleet,Rana Husni Al Mahmoud,Hamzeh Abuasba et al.
Hanan Saleet et al.
The growing digitization of healthcare services has led to an abundance of textual patient feedback, offering a unique opportunity to assess healthcare quality through sentiment analysis. While most existing research focuses on English-lang...
Regret theory-based clinical efficacy evaluation method with three-way decision [0.03%]
基于三支决策的后悔理论临床有效性评估方法
Jin Ye,Bingzhen Sun,Jianming Zhan et al.
Jin Ye et al.
Scientific assessment of clinical efficacy regarding treatment regimens is crucial for ensuring healthcare quality and improving patient prognosis. For most diseases, efficacy evaluation process of treatment regimens is a temporal process. ...