Analysis of Diagnostic Efficacy of the International Ovarian Tumor Analysis ADNEX Model and the ACR O-RADS US (Ovarian-Adnexal Reporting and Data System) for Benign and Malignant Ovarian Tumors: A Retrospective Study in a Tumor Center in Northeast China [0.03%]
国际卵巢肿瘤诊断分析ADNEX模型与ACR O-RADS US(OV型超声报告和数据系统)鉴别中国东北部地区良恶性卵巢肿瘤的效能分析：一项回顾性研究
Di Zhong,Xiao-Qiang Gao,Hai-Xia Li et al.
Di Zhong et al.
This study is to analyze and compare the diagnostic efficacy of the ADNEX model and O-RADS in Northeast China for benign and malignant ovarian-adnexal tumors. From July 2020 to February 2022, ultrasound images of 312 ovarian-adnexal masses ...
Fine-Tuned Large Language Model for Extracting Patients on Pretreatment for Lung Cancer from a Picture Archiving and Communication System Based on Radiological Reports [0.03%]
基于放射学报告的肺部癌症前期患者图片存档与通信系统的大型语言模型微调提取研究
Koichiro Yasaka,Jun Kanzawa,Noriko Kanemaru et al.
Koichiro Yasaka et al.
This study aimed to investigate the performance of a fine-tuned large language model (LLM) in extracting patients on pretreatment for lung cancer from picture archiving and communication systems (PACS) and comparing it with that of radiolog...
Adrenal Volume Quantitative Visualization Tool by Multiple Parameters and an nnU-Net Deep Learning Automatic Segmentation Model [0.03%]
基于多个参数的肾上腺体积定量可视化工具和一种nnU-Net深度学习自动分割模型
Yi Li,Yingnan Zhao,Ping Yang et al.
Yi Li et al.
Abnormalities in adrenal gland size may be associated with various diseases. Monitoring the volume of adrenal gland can provide a quantitative imaging indicator for such conditions as adrenal hyperplasia, adrenal adenoma, and adrenal cortic...
A Novel Radiology Communication Tool to Reduce Workflow Interruptions: Clinical Evaluation of RadConnect [0.03%]
一种新的放射学沟通工具：减少工作流程中断的临床评估RadConnect
Merlijn Sevenster,Kenneth F M Hergaarden,Omar Hertgers et al.
Merlijn Sevenster et al.
Despite the importance of communication, radiology departments often depend on communication tools that were not created for the unique needs of imaging workflows, leading to frequent radiologist interruptions. The objective of this study w...
Artificial Intelligence Application in Skull Bone Fracture with Segmentation Approach [0.03%]
基于分割的人工智能颅骨骨折辅助诊断方法研究
Chia-Yin Lu,Yu-Hsin Wang,Hsiu-Ling Chen et al.
Chia-Yin Lu et al.
This study aims to evaluate an AI model designed to automatically classify skull fractures and visualize segmentation on emergent CT scans. The model's goal is to boost diagnostic accuracy, alleviate radiologists' workload, and hasten diagn...
Iterative Motion Correction Technique with Deep Learning Reconstruction for Brain MRI: A Volunteer and Patient Study [0.03%]
基于深度学习重建的脑部MRI迭代运动校正技术志愿者和患者研究
Koichiro Yasaka,Hiroyuki Akai,Shimpei Kato et al.
Koichiro Yasaka et al.
The aim of this study was to investigate the effect of iterative motion correction (IMC) on reducing artifacts in brain magnetic resonance imaging (MRI) with deep learning reconstruction (DLR). The study included 10 volunteers (between Sept...
Correction: A Multiparametric MRI-based Radiomics Model for Stratifying Postoperative Recurrence in Luminal B Breast Cancer [0.03%]
订正：基于多参数MRI的影像组学模型在 luminal B型乳腺癌术后复发分层中的应用
Kepei Xu,Meiqi Hua,Ting Mai et al.
Kepei Xu et al.
Published Erratum
Journal of imaging informatics in medicine. 2024 Jun 28. DOI:10.1007/s10278-024-01177-9 2024
GLGFormer: Global Local Guidance Network for Mucosal Lesion Segmentation in Gastrointestinal Endoscopy Images [0.03%]
基于胃肠内镜图像粘膜病变分割的全局局部指导网络(GLGFormer)
Zhiyang Xu,Yanzi Miao,Guangxia Chen et al.
Zhiyang Xu et al.
Automatic mucosal lesion segmentation is a critical component in computer-aided clinical support systems for endoscopic image analysis. Image segmentation networks currently rely mainly on convolutional neural networks (CNNs) and Transforme...
Myocardial Transit Time Mapping by CMR: A Novel Indicator of Microcirculatory Dysfunction in Cardiac Amyloidosis [0.03%]
心肌淀粉样变性中微循环障碍的新指标——CMR心肌通过时间映射技术
Jinxiu Yang,Zhen Wang,Huimin Wang et al.
Jinxiu Yang et al.
Cardiac amyloidosis (CA) is characterized by the deposition of amyloid fibrils within the myocardium, resulting in a restrictive physiology. Although microvascular dysfunction is a common feature, it is difficult to assess. This study aimed...
Predicting EGFR Status After Radical Nephrectomy or Partial Nephrectomy for Renal Cell Carcinoma on CT Using a Self-attention-based Model: Variable Vision Transformer (vViT) [0.03%]
基于自注意力模型的CT影像预测肾细胞癌根治性肾切除或部分肾切除后的EGFR状态：变量视觉变换器(vViT)
Takuma Usuzaki,Ryusei Inamori,Mami Ishikuro et al.
Takuma Usuzaki et al.
Objective: To assess the effectiveness of the vViT model for predicting postoperative renal function decline by leveraging clinical data, medical images, and image-derived features; and to identify the most dominant facto...