Discrimination of Left Atrial Strain Patterns in Hypertensive Heart Disease and Hypertrophic Cardiomyopathy: a Cardiac Magnetic Resonance Feature [0.03%]
高血压性心脏病和肥厚型心肌病左心房应变模式的鉴别：一项心脏磁共振研究
Huimin Xu,Wei Deng,Zixiang Pan et al.
Huimin Xu et al.
To assess left atrial (LA) strain parameters using cardiovascular magnetic resonance imaging feature tracking (cardiac MRI-FT) for differentiating hypertensive heart disease (HHD) from hypertrophic cardiomyopathy (HCM), which are two left v...
The Application of ImageJ Software for Roughness Analysis of Dental Implants [0.03%]
ImageJ软件在口腔种植体表面粗糙度分析中的应用
Giovanna Nascimento Mendes,Lara Góis Floresta,Wilton Mitsunari Takeshita et al.
Giovanna Nascimento Mendes et al.
ImageJ software is a versatile, open-source software for visualizing, processing, and analyzing images, which has contributed to its widespread adoption in the scientific community. A notable application of this software is its integration ...
Transformer-Integrated Hybrid Convolutional Neural Network for Dose Prediction in Nasopharyngeal Carcinoma Radiotherapy [0.03%]
用于鼻咽癌放射治疗的剂量预测的变压器集成混合卷积神经网络
Xiangchen Li,Yanhua Liu,Feixiang Zhao et al.
Xiangchen Li et al.
Radiotherapy is recognized as the major treatment of nasopharyngeal carcinoma. Rapid and accurate dose prediction can improve the efficiency of the treatment planning process and the quality of radiotherapy plans. Currently, deep learning-b...
Shambavi Ganesh,Mostafa Abozeed,Usman Aziz et al.
Shambavi Ganesh et al.
Cardiovascular disease (CVD) is the leading cause of death worldwide. Coronary artery disease (CAD), a prevalent form of CVD, is typically assessed using catheter coronary angiography (CCA), an invasive, costly procedure with associated ris...
A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult [0.03%]
基于全球乳腺放射组学特征的机器学习模型可以预测放射科培训医师发现困难的正常乳腺影像案例
Somphone Siviengphanom,Patrick C Brennan,Sarah J Lewis et al.
Somphone Siviengphanom et al.
This study aims to investigate whether global mammographic radiomic features (GMRFs) can distinguish hardest- from easiest-to-interpret normal cases for radiology trainees (RTs). Data from 137 RTs were analysed, with each interpreting seven...
BCCHI-HCNN: Breast Cancer Classification from Histopathological Images Using Hybrid Deep CNN Models [0.03%]
基于混合深度卷积神经网络模型的乳腺癌病理图像分类
Saroj Kumar Pandey,Yogesh Kumar Rathore,Manoj Kumar Ojha et al.
Saroj Kumar Pandey et al.
Breast cancer is the most common cancer in women globally, imposing a significant burden on global public health due to high death rates. Data from the World Health Organization show an alarming annual incidence of nearly 2.3 million new ca...
Deep Learning-Based Estimation of Radiographic Position to Automatically Set Up the X-Ray Prime Factors [0.03%]
基于深度学习的射线照片位置估计以自动设置X射线主因子
C F Del Cerro,R C Giménez,J García-Blas et al.
C F Del Cerro et al.
Radiation dose and image quality in radiology are influenced by the X-ray prime factors: KVp, mAs, and source-detector distance. These parameters are set by the X-ray technician prior to the acquisition considering the radiographic position...
Prediction of Malignancy and Pathological Types of Solid Lung Nodules on CT Scans Using a Volumetric SWIN Transformer [0.03%]
基于体素的SWIN变压器：用于CT扫描中实性肺结节恶性度及病理分型预测
Huicong Chen,Yanhua Wen,Wensheng Wu et al.
Huicong Chen et al.
Lung adenocarcinoma and squamous cell carcinoma are the two most common pathological lung cancer subtypes. Accurate diagnosis and pathological subtyping are crucial for lung cancer treatment. Solitary solid lung nodules with lobulation and ...
Using Machine Learning on MRI Radiomics to Diagnose Parotid Tumours Before Comparing Performance with Radiologists: A Pilot Study [0.03%]
基于MRI影像组学的腮腺肿瘤智能诊断模型及其与放射科医师表现对比的试点研究
Samy Ammari,Arnaud Quillent,Víctor Elvira et al.
Samy Ammari et al.
The parotid glands are the largest of the major salivary glands. They can harbour both benign and malignant tumours. Preoperative work-up relies on MR images and fine needle aspiration biopsy, but these diagnostic tools have low sensitivity...
Empowering Women in Imaging Informatics: Confronting Imposter Syndrome, Addressing Microaggressions, and Striving for Work-Life Harmony [0.03%]
影像信息学中的女性赋能：应对冒名顶替综合征，解决微观侵犯行为，并致力于工作与生活的和谐
Mana Moassefi,Nikki Fennell,Mindy Yang et al.
Mana Moassefi et al.
For the past 6 years, the Society for Imaging Informatics in Medicine (SIIM) annual meeting has provided a forum for women in imaging informatics to discuss the unique challenges they face. These sessions have evolved into a platform for un...