GRMA-Net: A novel two-stage 3D Semi-supervised Pneumonia Segmentation based on Dual Multiscale Uncertainty Estimation with Graph Reasoning in Chest CTs [0.03%]
基于图推理的双尺度不确定性估计的胸部CT半监督肺炎分割算法GRMA-Net
Jianning Zang,Yu Gu,Lidong Yang et al.
Jianning Zang et al.
Introduction: This study aims to propose and evaluate a two-stage semi-supervised segmentation framework with dual multiscale uncertainty estimation and graph reasoning, addressing the challenges of obtaining high-precisi...
Clinical Outcomes of Patients with Adrenal Incidentaloma - Hypertension being a Continuous Risk Factor for the Presence of Comorbidity: A Single Center's Eight-year Experience [0.03%]
肾上腺偶发瘤患者的临床结局-高血压是合并症存在的连续风险因素：单中心八年的经验总结
Gamze Akkus,Ulcaz Perihan Aksoydan,Fulya Odabas et al.
Gamze Akkus et al.
Background: Adrenal incidentalomas have increased over the past years. Although there are a lot of studies related to the frequency of adrenal masses and comorbidities, whether patients with functional or nonfunctional ad...
Clinical Value of Nomogram Model based on Multimodality Ultrasound Image Characteristics Differentiating Benign and Malignant Breast Masses [0.03%]
基于多模态超声影像特征区分良恶性乳腺肿物的列线图模型的临床价值研究
Jiaxin Yan,Jianting Zheng,Shurong Chen et al.
Jiaxin Yan et al.
Introduction: Finding a convenient, accurate, and non-invasive method to differentiate between benign and malignant breast masses is especially important for clinical practice, and this study aimed to explore the clinical...
Bilateral Unfused Medial Process of Calcaneal Apophysis Associated with Lower Extremity Malalignment: A Case Report [0.03%]
跟骨骺内侧未融合的双侧过程与下肢畸形的相关性：病例报告
Yu Sung Yoon
Yu Sung Yoon
Introduction: The calcaneal apophysis develops through a complex ossification process during childhood growth, with multiple secondary ossification centers emerging in distinct temporal and spatial patterns. Its ossificat...
Predicting Chronic Liver Disease Severity by Liver and Splenic Extracellular Volume Fraction Derived from spectral-CT [0.03%]
基于谱系CT的肝脏和脾脏细胞外体积分数对慢性肝病严重程度的预测价值研究
Yiming Yang,Zhiyuan Chen,Dongjing Zhou et al.
Yiming Yang et al.
Introduction: To evaluate the effectiveness of spectral-CT in assessing the severity of liver diseases in patients with chronic liver disease (CLD). Metho...
CT-Based 3D Super-Resolution Radiomics for the Differential Diagnosis of Brucella vs. Tuberculous Spondylitis using Deep Learning [0.03%]
基于CT的3D超分辨率影像组学在布鲁氏菌与结核菌脊柱炎鉴别诊断中的深度学习方法研究
Kaifeng Wang,Lixia Qi,Jing Li et al.
Kaifeng Wang et al.
Introduction: This study aims to improve the accuracy of distinguishing Tuberculous Spondylitis (TBS) from Brucella Spondylitis (BS) by developing radiomics models using Deep Learning and CT images enhanced with Super-Res...
Multimodal Imaging and Clinical Implications of Collagenous Fibroma in the Juxtaforaminal Premaxillary Fat Pad Mimicking Locoregional Tumor Recurrence: A Case Report and Literature Review [0.03%]
邻近复发的前颌脂肪垫胶原纤维瘤的多模态影像学及临床特征：一例报道并文献回顾
Jeong Pyo Lee,Hye Jin Baek,Ki-Jong Park et al.
Jeong Pyo Lee et al.
Background: Collagenous fibroma (CF), or desmoplastic fibroblastoma, is a rare benign tumor with few reported cases involving the facial region. Its presence in uncommon sites can pose diagnostic challenges due to overlap...
Ultrasound and MRI Correlations with Pathological Findings in Fibrolipomatous Hamartoma of Peripheral Nerves [0.03%]
周围神经纤维脂肪错构瘤的超声和MRI与病理的相关性研究
Kezhen Qin,Hengtao Qi,Yeting Wang et al.
Kezhen Qin et al.
Introduction: The aim of this study was to evaluate the correlation between ultrasonography, magnetic resonance imaging, and pathology with Fibrolipomatous Hamartoma (FLH) of the peripheral nerve. ...
An Enhanced CT-Based Radiomics Model for Predicting the Anaplastic Lymphoma Kinase Mutation Status in Lung Adenocarcinoma [0.03%]
基于影像组学的预测肺癌腺癌间变性淋巴瘤激酶突变状态的模型研究增强CT
Zaixian Zhang,Taijuan Zhang,Hui Ding et al.
Zaixian Zhang et al.
Introduction: This study aimed to explore the relationship between radiomics features and anaplastic lymphoma kinase (ALK) gene mutation status in lung adenocarcinoma and to develop a radiomics nomogram for preoperative p...
Application of Tuning-Ensemble N-Best in Auto-Sklearn for Mammographic Radiomic Analysis for Breast Cancer Prediction [0.03%]
自动sklearn中调优集成n-best在乳腺癌预测的乳房放射组学分析中的应用
Faikah Awang Ismail,Muhammad Khalis Abdul Karim,Siti Izzatul Akma Zaidon et al.
Faikah Awang Ismail et al.
Introduction: Breast cancer is a major cause of mortality among women globally. While mammography remains the gold standard for detection, its interpretation is often limited by radiologist variability and the challenge o...