Balancing Radiation Dose Reduction and Image Quality in Chest Computed Tomography using Silicon Rubber-barium Sulfate Composite Shield [0.03%]
硅橡胶-硫酸钡复合材料在胸部CT检查中的应用：剂量体积与图像质量的权衡研究
Mohammad Keshtkar,Saeedeh Yazdanifar
Mohammad Keshtkar
Background: During chest CT examinations, the breasts are exposed to a significant amount of radiation, increasing the risk of radiation-induced cancers. The objective of this study is to develop and evaluate a novel sili...
A Comprehensive Survey of Brain-Computer Interface Technology in Health care: Research Perspectives [0.03%]
脑机接口技术在医疗健康领域的研究进展与展望综述式评论文章
Meenalosini Vimal Cruz,Suhaima Jamal,Sibi Chakkaravarthy Sethuraman
Meenalosini Vimal Cruz
The brain-computer interface (BCI) technology has emerged as a groundbreaking innovation with profound implications across diverse domains, particularly in health care. By establishing a direct communication pathway between the human brain ...
Introducing a Deep Neural Network Model with Practical Implementation for Polyp Detection in Colonoscopy Videos [0.03%]
一种实用的结肠内镜中息肉检测深度神经网络模型及其应用研究
Hajar Keshavarz,Zohreh Ansari,Hossein Abootalebian et al.
Hajar Keshavarz et al.
Background: Deep learning has gained much attention in computer-assisted minimally invasive surgery in recent years. The application of deep-learning algorithms in colonoscopy can be divided into four main categories: sur...
From Image to Sequence: Exploring Vision Transformers for Optical Coherence Tomography Classification [0.03%]
从图像到序列：探索用于光学相干层析成像分类的视觉变换器
Amirali Arbab,Aref Habibi,Hossein Rabbani et al.
Amirali Arbab et al.
Background: Optical coherence tomography (OCT) is a pivotal imaging technique for the early detection and management of critical retinal diseases, notably diabetic macular edema and age-related macular degeneration. These...
Enhanced Joint Heart and Respiratory Rates Extraction from Functional Near-infrared Spectroscopy Signals Using Cumulative Curve Fitting Approximation [0.03%]
基于累积曲线拟合逼近的改进型联合心率和呼吸频率提取方法
Navid Adib,Seyed Kamaledin Setarehdan,Shirin Ashtari Tondashti et al.
Navid Adib et al.
Background: Functional near-infrared spectroscopy (fNIRS) is a valuable neuroimaging tool that captures cerebral hemodynamic during various brain tasks. However, fNIRS data usually suffer physiological artifacts. As a mat...
Nonrigid Multimodal Registration Based on Fuzzy Inference System for Retinal Image Registration [0.03%]
基于模糊推理系统的视网膜图像配准的非刚性多模态配准
Monire Sheikh Hosseini,Hossein Rabbani
Monire Sheikh Hosseini
Background: Retinal imaging employs various modalities, each providing distinct perspectives on ocular structures. However, the integration of information from these modalities, which often have differing resolutions, req...
Radiomics Analysis on Computed Tomography Images for Prediction of Chemoradiation-induced Heart Failure in Breast Cancer by Machine Learning Models [0.03%]
基于机器学习模型分析乳腺癌放化疗诱导的心力衰竭的影像组学研究
Farzaneh Ansari,Ali Neshasteh-Riz,Reza Paydar et al.
Farzaneh Ansari et al.
Background: This study aimed to evaluate the effectiveness of clinical, dosimetric, and radiomic features from computed tomography (CT) scans in predicting the probability of heart failure in breast cancer patients underg...
Two Machine-learning Hybrid Models for Predicting Type 2 Diabetes Mellitus [0.03%]
两种用于预测2型糖尿病的混合机器学习模型
Rahman Farnoosh,Karlo Abnoosian,Rasha Abbas Isewid
Rahman Farnoosh
Background: The global increase in diabetes prevalence necessitates advanced diagnostic methods. Machine learning has shown promise in disease diagnosis, including diabetes. ...
Design and Simulation of an Ultrahigh-resolution Spectral-domain Optical Coherence Tomography [0.03%]
超高分辨光谱域光学相干层析成像的设计与仿真研究
Mohammad Hossein Vafaie,Maryam Ansarian,Hossein Rabbani
Mohammad Hossein Vafaie
Background: Optical coherence tomography (OCT) is a biomedical imaging technique used to achieve high-resolution images from human tissues in a noninvasive manner. ...
Multi-classification Deep Learning Approach for Diagnosing Stroke Type and Severity Using Multimodal Magnetic Resonance Images [0.03%]
基于多模态磁共振图像的卒中超分类深度学习诊断方法
Sahar Felehgari,Payam Sariaslani,Sepideh Shamsizadeh et al.
Sahar Felehgari et al.
Background: Clinical decisions for stroke treatments, such as thrombolytic drugs for ischemic strokes or anticoagulants for hemorrhagic strokes, rely on accurate diagnosis and severity assessment. Our study uses diffusion...