An IoT-enabled heart disease prediction framework using hybrid and multi-dilated convolution aided adaptive residual attention network [0.03%]
A Moorthy,V Sarala,C Sivasankar et al.
A Moorthy et al.
In the digital era, the medical industry creates a large amount of information related to patients. Manual processing of this produced information by a physician is very difficult. Therefore, the Internet of Things (IoT)-enabled heart disea...
Dosiomics versus DVH-based machine learning models for predicting shoulder impairment in breast cancer patients [0.03%]
基于剂量组学和DVH的机器学习模型预测乳腺癌患者的肩部功能损伤的比较研究
Moghadaseh Khalghi Bizaki,Mohammad Fasih,Zahra Bgherpour et al.
Moghadaseh Khalghi Bizaki et al.
MRI-based brain tumor detection through an explainable EfficientNetV2 and MLP-mixer attention architecture [0.03%]
基于MRI的脑肿瘤检测通过一种可解释的EfficientNetV2和MLP混合注意力架构
Mustafa Yurdakul,Şakir Taşdemir
Mustafa Yurdakul
Assessment of radiation permeability of CoCrMo and Ti-6Al-4V implants by Monte Carlo simulation of mass attenuation coefficients [0.03%]
基于质量衰减系数的蒙特卡洛模拟评估CoCrMo和Ti-6Al-4V植入物的辐射透射率
Kamil Savaş,Cüneyt May,Atakan Küskün et al.
Kamil Savaş et al.
Metallic implants remain a major source of artifact formation in computed tomography (CT) imaging, yet the underlying material dependent attenuation mechanisms are not fully characterized. This study provides a comprehensive quantitative co...
CNNT-Net: a novel deep learning-based framework for estimating high-quality fiber orientation distributions from single-shell dMRI [0.03%]
基于深度学习的新型框架估计单壳dMRI高质量纤维取向分布-CNNT网络
Yan Fan,Jiahao Li,Yingying Yao et al.
Yan Fan et al.
This study aims to introduce a novel deep learning-based network for the accurate reconstruction of high-quality fiber orientation distribution (FOD) images in the context of non-invasive imaging of white matter tractogram. The proposed net...
Multimodal attention-enhanced network of segmenting acute ischemic stroke from perfusion images [0.03%]
一种基于多模态注意力机制的急性缺血性脑卒中CTP图像分割网络方法研究
Xuanhe Zhao,Shannan Chen,Patrice Monkam et al.
Xuanhe Zhao et al.
Acute ischemic stroke (AIS) is a major cause of long-term disability and mortality worldwide. Accurate segmentation of stroke lesions, particularly the infarct core and penumbra, is critical for effective treatment planning. In this study, ...
Proposing diagnostic reference levels for paediatric computed tomography in Jordan: a national multicentre analysis [0.03%]
提出约旦儿科计算机断层扫描诊断参考水平的建议：一项全国多中心分析
Abdel-Baset Bani Yaseen,Jamie Trapp,Davide Fontanarosa
Abdel-Baset Bani Yaseen
Children are more radiosensitive than adults, making dose optimisation in paediatric computed tomography (CT) essential. Although Diagnostic Reference Levels (DRLs) are internationally recommended as optimisation tools, national DRLs for pa...
A method for the assessment of rheumatoid arthritis using neural network supported static and dynamic thermal analysis [0.03%]
基于神经网络支持的静态和动态热分析的类风湿性关节炎评估方法
H Feza Carlak,Yakup Irim,Sevcan Uğur et al.
H Feza Carlak et al.
Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by pain, swelling, stiffness, and loss of joint function, making early diagnosis challenging. The study aims to assess the differences between RA patients (n = 70) an...
CNN1D-LSTM with SMOTE for breast cancer classification: performance and statistical insights [0.03%]
基于CNN1D-LSTM的乳腺癌分类：性能与统计洞察
Kamini G Panchbhai,Lalchand B Patle,Madhusudan G Lanjewar
Kamini G Panchbhai
Breast cancer is a significant global health issue, demanding early identification to provide appropriate therapy and satisfactory survival results. This work used two independent imbalanced datasets (EIS-BT and WBCD). CNN1D with Long Short...
Education note: cultivating assessment and feedback for learning in our training hospital [0.03%]
教学札记：我院住院医师培训中的评估与反馈培养
Rebecca Day,Louise Beckingsale
Rebecca Day
High-value feedback is essential for the successful development of medical physics trainees (registrars) as they complete their clinical training. In this education note, we present an overview of a small education intervention we implement...