FGOOPNet: A Fuzzy Deep Learning Approach for Mammographic Breast Cancer Classification [0.03%]
基于模糊深度学习的乳腺癌 mammographic 分类方法
Ho Dat Tran,Anh Cang Phan,Thuong Cang Phan
Ho Dat Tran
Introduction: Breast cancer continues to threaten millions of women globally, and early detection is essential for saving lives. However, inconsistencies in radiological interpretation and uncertainty in lesion assessment...
Feasibility of Predicting the Triglyceride/High-Density Lipoprotein Cholesterol Ratio using Spectral Imaging with a Multi-Material Decomposition Technique on Fast kVp-Switching Dual-Energy CT [0.03%]
基于千伏快速切换双能量CT多物质分解技术预测甘油三酯与高密度脂蛋白胆固醇比值的可行性研究：一项体模实验和临床应用探讨
Anjie Xie,Chunmei Wang,Shunfa Huang et al.
Anjie Xie et al.
Introduction/ Background: Non-alcoholic fatty liver disease (NAFLD) is closely associated with increased cardiovascular risk, and the triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio is a reliable predictor of cardiometabo...
Pardeep Malik,Sukhdip Singh
Pardeep Malik
Introduction: Alzheimer's Disease (AD) is one of the most prevalent types of dementia, which primarily impacts the elderly. Distinguishing AD stages has emerged as a significant challenge. The recent progress in neurologi...
Integrating the O-RADS MRI Score with Machine Learning: Incremental Value for Predicting Malignancy in Ovarian Tumors [0.03%]
结合机器学习的O-RADS MRI评分在卵巢肿瘤恶性病变预测中的应用价值研究
Fengqiao Zhao,Meilan Zhang,Jingyuan Qi et al.
Fengqiao Zhao et al.
Introduction: This study aimed to evaluate the incremental diagnostic value of integrating the Ovarian-Adnexal Reporting and Data System (O-RADS) magnetic resonance imaging (MRI) score with conventional clinical and imagi...
High-resolution MRI-based Radiomics and Machine Learning for Identification of Middle Cerebral Artery Vulnerable Plaques [0.03%]
基于高分辨率磁共振成像的影像组学和机器学习在大脑中动脉易损斑块检测中的应用
Danfeng Zhang,Bin Jiang,Hui Xu et al.
Danfeng Zhang et al.
Introduction: To construct a vulnerable plaque model utilizing high-resolution magnetic resonance imaging (HR-MRI) based radiomics features and traditional features. ...
Unilateral Renal Castleman Disease Presenting with Acute Abdominal Pain: A Case Report and Literature Review [0.03%]
单侧肾Castleman病以急性腹痛起病1例并文献复习
Ying Wang,Hai Chen,Shutong Chen et al.
Ying Wang et al.
Introduction/background: Castleman disease (CD) is a rare lymphoproliferative disorder, with primary renal involvement being exceptionally uncommon. Most cases are asymptomatic and discovered incidentally. This report des...
A Systematic Review and Meta-Analysis of Survival Prediction in Glioblastoma Patients Using Advanced MRI Techniques [0.03%]
基于磁共振新技术的胶质母细胞瘤患者预后预测的系统评价和meta分析
Zayd Osama Jastaniah,Mohammed Ahmed Alsubhi,Yasser Noorelahi et al.
Zayd Osama Jastaniah et al.
Introduction: Glioblastoma (GBM) is an aggressive brain tumor with a dismal prognosis. Recent advances in radiomics and machine learning (ML) applied to magnetic resonance imaging (MRI) have demonstrated promising potenti...
CT Radiomics for the Early Identification of Fungal Co-infection in Immunocompromised Patients with Viral Pneumonia [0.03%]
免疫抑制患者病毒性肺炎真菌合并感染的早期影像组学识别研究
Le Zhou,Renjun Huang,Xinbing Zheng et al.
Le Zhou et al.
Introduction: This study aimed to establish and validate CT-based radiomics models combined with clinical data to identify Fungal Co-Infections (FCI) in immunocompromised patients with Viral Pneumonia (VP). ...
High-Resolution Imaging Analysis of CT Severity Index in COVID-19 Patients: Impact of Age and Sex [0.03%]
新型冠状病毒肺炎患者CT严重程度指数的高分辨率影像分析：年龄和性别的影响
Mahesh Chandra Bhatt,Arun Upmanyu,Subhash Chand Bansal et al.
Mahesh Chandra Bhatt et al.
Introduction: COVID-19 is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). HRCT chest imaging has been widely used during the COVID-19 pandemic. The CT severity score is helpful...
Automatic Recognition Algorithm for Renal Tumors and Cysts in CT Images using Mamba and YOLO11 [0.03%]
基于Mamba和YOLO11的肾脏肿瘤与囊肿自动识别算法
Jiang Jiali,Chen Zhaoxue
Jiang Jiali
Introduction: Renal tumors pose a serious threat to patient health and survival, highlighting the importance of early detection and accurate diagnosis. In clinical practice, differentiating renal tumors from cysts in CT i...