Anatomically Localized Detection of Six Acute Abdominal Emergencies on CT Using Multi-window Deep Learning: Development and Validation [0.03%]
基于多窗口深度学习的六种急腹症CT解剖定位检测方法的研究与验证
Hasan Mete Erdoğan,Ural Koç
Hasan Mete Erdoğan
The purpose of this study is to develop and retrospectively validate a deep learning system for the classification and anatomically interpretable localization of six acute abdominal emergencies on CT using multi-window Hounsfield Unit (HU) ...
DSGH-Net: Medical Image Segmentation via Dual-Statistical Dynamic Context and Graph-Convolutional Heterogeneous Decoder [0.03%]
基于双统计动态上下文和图卷积异构解码器的医学图像分割方法
Jiying Ma,Di Long,Pengfei Li
Jiying Ma
Accurate segmentation of medical images is crucial for assisting clinical diagnosis and treatment planning. However, automatic segmentation remains highly challenging due to significant variations in the size and morphology of lesions, as w...
Acceptance and Utilization of Picture Archiving and Communication Systems in Emergency Departments: A TAM-Based Study in Palestinian Governmental Hospitals [0.03%]
基于技术接受模型的 Palestine 公立医院急诊科医护人员对影像归档和通信系统接纳及使用研究
Saleh Mahmoud Thiab,Ali Abu Arra,Abed Al Nasser Assi et al.
Saleh Mahmoud Thiab et al.
In the world of healthcare, picture archiving and communication systems (PACS) have emerged as a crucial part of the medical framework, providing an efficient method for storing, retrieving, transmitting, and displaying medical images. The ...
Gonial Angle Estimation on Dental Panoramic X-Rays Using Deep Learning: A Transfer Learning Approach for Keypoint Detection [0.03%]
基于深度学习的牙科全景X射线咬合角估计：用于关键点检测的迁移学习方法
Muhammet Üsame Öziç,Serap Akdoğan,Melek Tassoker
Muhammet Üsame Öziç
This study aims to estimate the gonial angle from dental panoramic radiographs using deep learning models with transfer learning and keypoint detection. A dataset of 1000 panoramic X-rays collected between 2023 and 2024 was used. Three anat...
MRI Radiomics for Preoperative Microvascular Invasion Stratification in Hepatocellular Carcinoma: Comparative Analysis of Intratumoral, Peritumoral, and Combined Intratumoral-Peritumoral Approaches-A Systematic Review and Meta-analysis [0.03%]
基于术前微血管浸润分层的肝细胞癌MRI影像组学：瘤内、瘤周及联合瘤内-瘤周方法比较分析系统回顾和meta分析
Mehrad Zare,Alisa Mohebbi,Iman Kiani et al.
Mehrad Zare et al.
Microvascular invasion (MVI) represents a critical prognostic determinant in hepatocellular carcinoma (HCC), yet preoperative prediction remains challenging. MRI-based radiomics offers promise for noninvasive MVI stratification through quan...
Cross-Center Online Generalization Algorithm with Unadversarial Consistency for Fetal Heart Ultrasound View Recognition [0.03%]
具有非对抗一致性的跨中心在线泛化算法在胎儿心脏超声视图识别中的应用
Yiman Liu,Tongtong Liang,Jiahe Tian et al.
Yiman Liu et al.
Fetal congenital heart disease (FCHD) remains a leading cause of infant mortality globally, yet the clinical deployment of deep learning models for automated fetal echocardiographic view recognition faces performance degradation due to doma...
From Gram Stain to Decision Support: Performance of Multimodal Large Language Models in Blood Culture Microscopy [0.03%]
从革兰氏染色到决策支持：多模态大型语言模型在血液培养显微镜检查中的表现
Canset Nur Aydogan,Ilgaz Kazaz,Tuğrul Hoşbul
Canset Nur Aydogan
Multimodal large language models (LLMs) offer significant potential for image-based diagnostics, yet their reliability in routine clinical microbiology workflows, specifically Gram stain interpretation, remains insufficiently characterized....
SCA-Net: A Scale- and Contrast-Aware Network for Subtle and Low-Contrast Polyp Segmentation [0.03%]
SCA-Net：一种尺度感知和对比度感知网络用于细小低对比度息肉的分割
Jiaxu Huang,Yiyue Li,Jiaqi Zhang et al.
Jiaxu Huang et al.
Accurate polyp segmentation is critical for early detection of colorectal cancer. However, existing methods often struggle with subtle polyps, weak boundaries, and poor cross-dataset generalization. To address these challenges, we propose S...
Advanced Deep Learning Architectures in MRI-Based Brain Tumor Classification: A Systematic Review Focused on Meningiomas [0.03%]
基于MRI的脑肿瘤分类中 meningioma的系统性综述与深度学习架构的发展关系探究
Naima Noor,Clinton Turner,Samantha J Holdsworth et al.
Naima Noor et al.
Deep learning (DL) is increasingly applied to automate brain tumor classification from magnetic resonance imaging (MRI), yet meaningful clinical deployment remains limited by tumor heterogeneity, dataset bias, and incomplete tumor-specific ...
Non-invasive Multimodal Cardiovascular Disease Detection Method Based on Comprehensive View Analysis [0.03%]
基于综合视角分析的非侵入式心血管疾病多模态检测方法
Yining Xie,Kaiwen Zhang,Jun Long et al.
Yining Xie et al.
In recent years, researchers have found that the diagnosis of cardiovascular disease (CVD) is closely related to retinal fundus images and specific clinical indicators. However, current diagnostic methods are still limited to analyzing sing...