Fast and Frictionless: A Novel Approach to Radiology Appointment Scheduling Using a Mobile App and Recommendation Engine [0.03%]
快捷与无摩擦：使用移动应用程序和推荐引擎进行放射科预约 schedulingRadiology的新方法
Ankur M Doshi,Dana Ostrow,August Gresens et al.
Ankur M Doshi et al.
Many outpatient radiology orders are never scheduled, which can result in adverse outcomes. Digital appointment self-scheduling provides convenience, but utilization has been low. The purpose of this study was to develop a "frictionless" sc...
Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images [0.03%]
基于MRI图像的深层卷积神经网络脑部异常分类方法研究
Dewinda Julianensi Rumala,Peter van Ooijen,Reza Fuad Rachmadi et al.
Dewinda Julianensi Rumala et al.
An automated diagnosis system is crucial for helping radiologists identify brain abnormalities efficiently. The convolutional neural network (CNN) algorithm of deep learning has the advantage of automated feature extraction beneficial for a...
Automatic Spine Segmentation and Parameter Measurement for Radiological Analysis of Whole-Spine Lateral Radiographs Using Deep Learning and Computer Vision [0.03%]
基于深度学习和计算机视觉的全脊柱侧位片影像分析及量化参数测量自动标注系统
Yong-Tae Kim,Tae Seok Jeong,Young Jae Kim et al.
Yong-Tae Kim et al.
Radiographic examination is essential for diagnosing spinal disorders, and the measurement of spino-pelvic parameters provides important information for the diagnosis and treatment planning of spinal sagittal deformities. While manual measu...
A Pilot Human Cadaveric Study on Accuracy of the Augmented Reality Surgical Navigation System for Thoracolumbar Pedicle Screw Insertion Using a New Intraoperative Rapid Registration Method [0.03%]
一种新的术中快速配准方法指导下胸腰段椎弓根钉置入的增强现实脊柱导航系统准确性尸体学研究
Bing Cao,Bo Yuan,Guofeng Xu et al.
Bing Cao et al.
To evaluate the feasibility and accuracy of AR-assisted pedicle screw placement using a new intraoperative rapid registration method of combining preoperative CT scanning and intraoperative C-arm 2D fluoroscopy in cadavers. Five cadavers wi...
Randomized Controlled Trial
Journal of digital imaging. 2023 Aug;36(4):1919-1929. DOI:10.1007/s10278-023-00840-x 2023
Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction [0.03%]
基于混沌混合深度特征提取的自动化尿细胞图像分类模型
Mehmet Erten,Ilknur Tuncer,Prabal D Barua et al.
Mehmet Erten et al.
Microscopic examination of urinary sediments is a common laboratory procedure. Automated image-based classification of urinary sediments can reduce analysis time and costs. Inspired by cryptographic mixing protocols and computer vision, we ...
Degradation Adaption Local-to-Global Transformer for Low-Dose CT Image Denoising [0.03%]
基于降解适应的局部到全局变换低剂量CT图像去噪方法
Huan Wang,Jianning Chi,Chengdong Wu et al.
Huan Wang et al.
Computer tomography (CT) has played an essential role in the field of medical diagnosis. Considering the potential risk of exposing patients to X-ray radiations, low-dose CT (LDCT) images have been widely applied in the medical imaging fiel...
Carimas: An Extensive Medical Imaging Data Processing Tool for Research [0.03%]
Carimas：一个用于医学影像数据处理的研究工具
Oona Rainio,Chunlei Han,Jarmo Teuho et al.
Oona Rainio et al.
Carimas is a multi-purpose medical imaging data processing tool, which can be used to visualize, analyze, and model different medical images in research. Originally, it was developed only for positron emission tomography data in 2009, but t...
An Improved Convolution Neural Network and Modified Regularized K-Means-Based Automatic Lung Nodule Detection and Classification [0.03%]
基于改进的卷积神经网络和修正的正则化K均值的自动肺结节检测与分类算法研究
Dhasny Lydia M,Dr Prakash M
Dhasny Lydia M
If lung cancer is not detected in its initial phases, it can be fatal. However, because of the quantity and structure of its nodules, lung cancer is difficult to detect early. For accurate detections, radiologists require assistance from au...
Automating Angle Measurements on Foot Radiographs in Young Children: Feasibility and Performance of a Convolutional Neural Network Model [0.03%]
基于卷积神经网络模型的儿童足部X线片角度测量自动化：可行性和性能研究
Daniella Patton,Adarsh Ghosh,Amy Farkas et al.
Daniella Patton et al.
Measurement of angles on foot radiographs is an important step in the evaluation of malalignment. The objective is to develop a CNN model to measure angles on radiographs, using radiologists' measurements as the reference standard. This IRB...
Artificial Intelligence Model Trained with Sparse Data to Detect Facial and Cranial Bone Fractures from Head CT [0.03%]
基于头部CT图像的颅骨和面部骨折检测的人工智能模型及其稀缺数据训练方法
Huan-Chih Wang,Shao-Chung Wang,Jiun-Lin Yan et al.
Huan-Chih Wang et al.
The presence of cranial and facial bone fractures is an important finding on non-enhanced head computed tomography (CT) scans from patients who have sustained head trauma. Some prior studies have proposed automatic cranial fracture detectio...