Reliability-Aware View-Adaptive Consensus for 3D Cephalometric Landmark Identification [0.03%]
面向3D头影标志点识别的鲁棒自适应一致性方法
Min-Hyuk Choi,Jo-Eun Kim,Kyung-Hoe Huh et al.
Min-Hyuk Choi et al.
Cone-beam computed tomography (CBCT)-based three-dimensional (3D) cephalometric analysis relies on accurate anatomical landmark identification, yet manual annotation is time-consuming and subject to inter- and intra-observer variability. Wh...
Evaluating Clinical NLP Services for Chest Radiograph Report Labeling: A Comparative Study on an Independent Pediatric Dataset [0.03%]
基于独立儿科数据集的临床NLP服务评价：以胸部放射报告标注为例比较研究
Shruti Hegde,Mabon Manoj Ninan,Jonathan R Dillman et al.
Shruti Hegde et al.
General-purpose clinical NLP tools are increasingly used to automatically label clinical reports for research and quality improvement. However, independent evaluations for specific tasks like labeling pediatric CXR reports remain limited. T...
Automatic Grading of Age-Related Cataract via Progressive Ordinal Attention and Topology-Constrained Prototype Learning [0.03%]
基于渐进式序数注意力和拓扑约束原型学习的自动白内障分级系统
Zexin Xu,Cheng Wan,Xinya Hu et al.
Zexin Xu et al.
Age-related cataract is a leading cause of visual impairment among older adults, significantly affecting quality of life and independence. Accurate severity grading is essential for determining optimal surgical timing and improving clinical...
CMB-Net: A Clinically Modulated Boundary-Aware Network for Anatomical Segmentation of the Cervical Transformation Zone in Colposcopy [0.03%]
一种针对宫颈转化带解剖结构分割的临床调节边界感知网络(CMB-Net)
Ling Yan,Jiali Wu,Yi Guo et al.
Ling Yan et al.
Colposcopy is an essential tool for cervical precancer evaluation and biopsy guidance. Most existing artificial intelligence (AI) tools for cervicogram analysis are lesion-centric or limited to global transformation zone (TZ) classification...
Advancing the FAIRness of Multimodal Imaging Research Through the OMOP MI-CDM Framework: A Case Replication Study in Alzheimer's Disease [0.03%]
利用OMOP MI-CDM框架推进多模态影像学研究的FAIR性：阿尔茨海默病中的案例复制研究
Gabriel L O Salvador,Jen Wooyeon Park,Teri Sippel Schmidt et al.
Gabriel L O Salvador et al.
The objective of this study is to demonstrate an end-to-end approach for operationalizing the Findable, Accessible, Interoperable, and Reusable (FAIR) principles in multimodal medical imaging research using standardized data models and repr...
Explainable AI-Assisted Multimodal Ultrasound Radiomics for Preoperative Risk Stratification of Central Lymph Node Metastasis in Papillary Thyroid Carcinoma [0.03%]
基于可解释人工智能的多模态超声影像组学在乳头状甲状腺癌中央区淋巴结转移术前分层中的应用
Zhengqin Huang,Junjie Wang,Meiwen Chen et al.
Zhengqin Huang et al.
The objective was to develop and validate an explainable artificial intelligence (AI)-based multimodal approach for preoperative risk stratification of central lymph node metastasis (CLNM) in papillary thyroid carcinoma (PTC) and to evaluat...
3D Fractal Analysis of Gd-EOB-DTPA-MRI for Vessels Encapsulating Tumor Clusters Prediction in Hepatocellular Carcinoma [0.03%]
基于3D分形分析的Gd-EOB-DTPA-MRI对肝细胞癌肿瘤团块包绕血管预测价值的研究
Miaomiao Wang,Yinzhong Wang,Ya Shen et al.
Miaomiao Wang et al.
This study aims to evaluate the potential role of 3-dimensional (3D) fractal analysis derived from Gd-EOB-DTPA-MRI in predicting vessels encapsulating tumor clusters (VETC) pattern in patients with hepatocellular carcinoma (HCC). This retro...
Mandibular Angle Bone Appositions in Bruxism: A Deep Learning-Based Detection and Staging Study [0.03%]
咬肌骨附着部位在磨牙症中的深度学习检测与分级研究
Fatma Yuce,Muhammet Üsame Öziç
Fatma Yuce
This study aims to automatically detect, classify, and stage bone apposition changes in the mandibular angle region associated with bruxism using panoramic radiographs. The deep learning-based YOLO11x architecture was implemented to identif...
Technical Developments in Radiology: Enhancing Research Workflows with PACScrawler [0.03%]
放射科技术的发展：利用PACScrawler增强科研工作流
Joshy Cyriac,Ashraya Kumar Indrakanti,Jakob Wasserthal et al.
Joshy Cyriac et al.
Efficiently identifying and retrieving imaging studies to create research cohorts is often hindered by the segregated storage of medical imaging data and radiological reports. To address this, we developed PACScrawler, an open-source tool d...
Prediction of Whole-Body Tissue Composition from Regional Sub-Body CT Scans [0.03%]
基于区域亚全身CT扫描的全身影像组学模型及其对体组成成分的预测研究
Morteza Golzan,Hyunwoo Lee,Vincent Chow et al.
Morteza Golzan et al.
Accurate assessment of body composition is essential for understanding human physiology and health risks and developing personalized medical strategies. Traditional approaches, such as single-slice segmentation at the L3 vertebra, often fai...