Deep Learning-Based Pediatric Brain Region Segmentation and Volumetric Analysis for General Growth Pattern in Healthy Children [0.03%]
基于深度学习的健康儿童脑区分割及全脑体积分析用于构建正常生长模型
Hui Zheng,Xinyun Wang,Ming Liu et al.
Hui Zheng et al.
To establish a quantitative reference for brain structural changes in children with neurological disorders, we employed deep learning technique to brain region segmentation and volumetric analysis within a cohort of healthy children. In thi...
Meirong Ren,Peng Xue,Huizhong Ji et al.
Meirong Ren et al.
Current Transformer structure utilizes the self-attention mechanism to model global contextual relevance within image, which makes an impact on medical image registration. However, the use of Transformer in handling large deformation lung C...
Automatic Classification of Focal Liver Lesions Based on Multi-Sequence MRI [0.03%]
基于多序列磁共振成像的肝占位病变自动分类诊断方法研究
Mingfang Hu,Shuxin Wang,Mingjie Wu et al.
Mingfang Hu et al.
Accurate and automated diagnosis of focal liver lesions is critical for effective radiological practice and patient treatment planning. This study presents a deep learning model specifically developed for classifying focal liver lesions acr...
ChatGPT vs Gemini: Comparative Accuracy and Efficiency in CAD-RADS Score Assignment from Radiology Reports [0.03%]
ChatGPT与Gemini在从放射学报告中分配CAD-RADS评分的准确性和效率比较
Matthew Silbergleit,Adrienn Tóth,Jordan H Chamberlin et al.
Matthew Silbergleit et al.
This study aimed to evaluate the accuracy and efficiency of ChatGPT-3.5, ChatGPT-4o, Google Gemini, and Google Gemini Advanced in generating CAD-RADS scores based on radiology reports. This retrospective study analyzed 100 consecutive coron...
Robust Radiomics Models for Predicting HIFU Prognosis in Uterine Fibroids Using SHAP Explanations: A Multicenter Cohort Study [0.03%]
基于SHAP解释的超声消融治疗子宫肌瘤预后预测的鲁棒型影像组学模型：一项多中心队列研究
Huan Liu,Jincheng Zeng,Chen Jinyun et al.
Huan Liu et al.
This study sought to develop and validate different machine learning (ML) models that leverage non-contrast MRI radiomics to predict the degree of nonperfusion volume ratio (NVPR) of high-intensity focused ultrasound (HIFU) treatment for ut...
Impact of Harmonization on MRI Radiomics Feature Variability Across Preprocessing Methods for Parkinson's Disease Motor Subtype Classification [0.03%]
影像组学特征的谐波化对帕金森病运动分型分类的影响研究
Mehdi Panahi,Mahboube Sadat Hosseini
Mehdi Panahi
This study aimed to assess the reproducibility of MRI-derived radiomic features across multiple preprocessing methods for classifying Parkinson's disease (PD) motor subtypes and to evaluate the impact of ComBat harmonization on feature stab...
An Innovative Attention-based Triplet Deep Hashing Approach to Retrieve Histopathology Images [0.03%]
一种新颖的注意机制 triplet 深度哈希方法用于检索病理切片图像
Seyed Mohammad Alizadeh,Mohammad Sadegh Helfroush,M Emre Celebi
Seyed Mohammad Alizadeh
Content-based histopathology image retrieval (CBHIR) can assist in the diagnosis of different diseases. The retrieval procedure can be complex and time-consuming if high-dimensional features are required. Thus, hashing techniques are employ...
Urine Sediment Detection Algorithm Based on Channel Enhancement and Deformable Convolution [0.03%]
基于信道增强和可变形卷积的尿沉渣检测算法
Shihao Zhang,Xu Bao,Yun Wang et al.
Shihao Zhang et al.
Urine sediment detection is a vital method in clinical urine analysis for evaluating an individual's kidney and urinary system health, as well as identifying potential diseases. Nevertheless, urine sediment images exhibit the characteristic...
Radiomics-Based Diagnosis in Dentomaxillofacial Radiology: A Systematic Review [0.03%]
基于放射组学的颌面放射诊断：系统性综述
Özge Dönmez Tarakçı,Hatice Cansu Kış,Hakan Amasya et al.
Özge Dönmez Tarakçı et al.
Radiomics is a quantitative tool for digital image analysis. This systematic review aims to investigate the scientific articles to evaluate the potential implications of Radiomics analysis in Dentomaxillofacial Radiology (DMFR). Studies reg...
An Automated Diagnosis of Parkinson's Disease from MRI Scans Based on Enhanced Residual Dense Network with Attention Mechanism [0.03%]
基于增强残差密集网络和注意力机制的帕金森病MRI自动诊断系统
Hakan Acikgoz,Deniz Korkmaz,Tarık Talan
Hakan Acikgoz
The increasing prevalence of neurodegenerative diseases has recently heightened interest in research on early diagnosis of these diseases. Parkinson's disease (PD), among the most prominent of these conditions, is a neurological disorder ca...