Workload Balancing in Emergency Night Shifts for a Multicenter Diagnostic Imaging Department: a RIS-Integrated Solution [0.03%]
基于RIS的多中心影像诊断部门急诊夜班工作负荷均衡方案
A Nitrosi,P Pattacini,M Bertolini et al.
A Nitrosi et al.
The purpose of this short report is to illustrate the implementation of a RIS function for balancing radiological activities and workloads between two different teams of radiologists from the same Diagnostic Department during emergency nigh...
Multicenter Study
Journal of digital imaging. 2023 Oct;36(5):1987-1994. DOI:10.1007/s10278-023-00869-y 2023
Xue Feng,Kanchan Ghimire,Daniel D Kim et al.
Xue Feng et al.
Deep convolutional neural networks (DCNNs) have shown promise in brain tumor segmentation from multi-modal MRI sequences, accommodating heterogeneity in tumor shape and appearance. The fusion of multiple MRI sequences allows networks to exp...
Quantitative Validation of the Correlation Between Optimized Pyramidal Tract Delineation After Brain Shift Compensation and Direct Electrical Subcortical Stimulation During Brain Tumor Surgery [0.03%]
脑移位校正后优化锥体束勾画与术中皮质下电刺激定位相关性的定量验证
Ye Li,Yuanzheng Hou,Xiaoyu Li et al.
Ye Li et al.
It remains unclear whether tractography of pyramidal tracts is correlated with the intraoperative direct electrical subcortical stimulation (DESS), and brain shift further complicates the issue. The objective of this research is to quantita...
What Matters in Radiological Image Segmentation? Effect of Segmentation Errors on the Diagnostic Related Features [0.03%]
放射影像分割何者重要？ segmentation误差对诊断相关特征的影响
Zihang Chen,Jiafei Chen,Jun Zhao et al.
Zihang Chen et al.
Segmentation is a crucial step in extracting the medical image features for clinical diagnosis. Though multiple metrics have been proposed to evaluate the segmentation performance, there is no clear study on how or to what extent the segmen...
Consistency of Artificial Intelligence (AI)-based Diagnostic Support Software in Short-term Digital Mammography Reimaging After Core Needle Biopsy [0.03%]
基于人工智能（AI）的诊断支持软件在核心针活检后的短期数字乳腺X线摄影复查中的一致性
Ji Hyun Youk,Kyunghwa Han,Si Eun Lee et al.
Ji Hyun Youk et al.
To evaluate the consistency in the performance of Artificial Intelligence (AI)-based diagnostic support software in short-term digital mammography reimaging after core needle biopsy. Of 276 women who underwent short-term (
Lessons Learned in Change Management in Deploying Novel Informatics Solutions: Experience Implementing a Point-of-Care Patient Photography System with Radiography [0.03%]
医学影像系统(point-of-care patient photography system)部署中的信息化难题及经验教训——以放射科为例
Carson A Wick,Srini Tridandapani,Marta E Heilbrun et al.
Carson A Wick et al.
We describe implementation of a point-of-care system for simultaneous acquisition of patient photographs along with portable radiographs at a large academic hospital. During the implementation process, we observed several technical challeng...
Effect of Gaussian Smoothing Filter Size for CT-Based Attenuation Correction on Quantitative Assessment of Bone SPECT/CT: A Phantom Study [0.03%]
基于CT的衰减校正中高斯平滑滤波器大小对骨SPECT/CT定量评估的影响：体模研究
Yoya Tomita,Yasutaka Ichikawa,Kengo Hashizume et al.
Yoya Tomita et al.
This study aims to determine the effect of Gaussian filter size for CT-based attenuation correction (CTAC) on the quantitative assessment of bone SPECT. An experiment was performed using a cylindrical phantom containing six rods, of which o...
A Multi-Stage Faster RCNN-Based iSPLInception for Skin Disease Classification Using Novel Optimization [0.03%]
一种新型优化的基于Faster RCNN的多阶段iSPLInception皮肤疾病分类方法
R Josphineleela,P B V Raja Rao,Amir Shaikh et al.
R Josphineleela et al.
Nowadays, skin cancer is considered a serious disorder in which early identification and treatment of the disease are essential to ensure the stability of the patients. Several existing skin cancer detection methods are introduced by employ...
Patient Identification Based on Deep Metric Learning for Preventing Human Errors in Follow-up X-Ray Examinations [0.03%]
基于深度度量学习的患者身份识别在随访X射线检查中预防人为错误中的应用研究
Yasuyuki Ueda,Junji Morishita
Yasuyuki Ueda
Biological fingerprints extracted from clinical images can be used for patient identity verification to determine misfiled clinical images in picture archiving and communication systems. However, such methods have not been incorporated into...
Histopathological Image Deep Feature Representation for CBIR in Smart PACS [0.03%]
基于深度特征表示的智能PACS中的病理图像内容检索研究
Cristian Tommasino,Francesco Merolla,Cristiano Russo et al.
Cristian Tommasino et al.
Pathological Anatomy is moving toward computerizing processes mainly due to the extensive digitization of histology slides that resulted in the availability of many Whole Slide Images (WSIs). Their use is essential, especially in cancer dia...