Correction: Certified Imaging Informatics Professionals (CIIP) Demonstrate Value to the Healthcare Industry and Focus on Quality Through the ABII 10-Year Requirements Practice Option [0.03%]
关于认证医学影像信息技术专家（CIIP）通过ABII十年要求实践选项展示对医疗保健行业的价值并致力于质量提升的更正公告
Ameena Elahi,Nikki Fennell,Liana Watson
Ameena Elahi
Published Erratum
Journal of imaging informatics in medicine. 2024 Sep 4. DOI:10.1007/s10278-024-01246-z 2024
Improving the Annotation Process in Computational Pathology: A Pilot Study with Manual and Semi-automated Approaches on Consumer and Medical Grade Devices [0.03%]
计算病理学中改进注释过程的试点研究：在消费级和医学级设备上采用手动和半自动方法的研究
Giorgio Cazzaniga,Fabio Del Carro,Albino Eccher et al.
Giorgio Cazzaniga et al.
The development of reliable artificial intelligence (AI) algorithms in pathology often depends on ground truth provided by annotation of whole slide images (WSI), a time-consuming and operator-dependent process. A comparative analysis of di...
Unsupervised and Self-supervised Learning in Low-Dose Computed Tomography Denoising: Insights from Training Strategies [0.03%]
低剂量CT去噪的无监督和自监督学习：训练策略的见解
Feixiang Zhao,Mingzhe Liu,Mingrong Xiang et al.
Feixiang Zhao et al.
In recent years, X-ray low-dose computed tomography (LDCT) has garnered widespread attention due to its significant reduction in the risk of patient radiation exposure. However, LDCT images often contain a substantial amount of noises, adve...
Application of Wiener Filter Based on Improved BB Gradient Descent in Iris Image Restoration [0.03%]
基于改进BB梯度下降的wiener滤波在 iris 图像复原中的应用研究
Chuandong Qin,Yiqing Zhang
Chuandong Qin
Iris recognition, renowned for its exceptional precision, has been extensively utilized across diverse industries. However, the presence of noise and blur frequently compromises the quality of iris images, thereby adversely affecting recogn...
Differences in Topography of Individual Amyloid Brain Networks by Amyloid PET Images in Healthy Control, Mild Cognitive Impairment, and Alzheimer's Disease [0.03%]
基于PET amyloid图像的健康对照、轻度认知障碍和阿尔茨海默病个体淀粉样脑网络拓扑差异性分析
Tsung-Ying Ho,Shu-Hua Huang,Chi-Wei Huang et al.
Tsung-Ying Ho et al.
Amyloid plaques, implicated in Alzheimer's disease, exhibit a spatial propagation pattern through interconnected brain regions, suggesting network-driven dissemination. This study utilizes PET imaging to investigate these brain connections ...
Feature-Based vs. Deep-Learning Fusion Methods for the In Vivo Detection of Radiation Dermatitis Using Optical Coherence Tomography, a Feasibility Study [0.03%]
一种用于光学相干层析术检测放射性皮炎的特征融合与深度学习方法的可行性研究
Christos Photiou,Constantina Cloconi,Iosif Strouthos
Christos Photiou
Acute radiation dermatitis (ARD) is a common and distressing issue for cancer patients undergoing radiation therapy, leading to significant morbidity. Despite available treatments, ARD remains a distressing issue, necessitating further rese...
Banavathu Sridevi,B John Jaidhan
Banavathu Sridevi
The precise delineation of the pancreas from clinical images poses a substantial obstacle in the realm of medical image analysis and surgical procedures. Challenges arise from the complexities of clinical image analysis and complications in...
Automatic Diagnosis of Hepatocellular Carcinoma and Metastases Based on Computed Tomography Images [0.03%]
基于CT图像的肝细胞癌及转移灶的自动诊断方法研究
Vincent-Béni Sèna Zossou,Freddy Houéhanou Rodrigue Gnangnon,Olivier Biaou et al.
Vincent-Béni Sèna Zossou et al.
Liver cancer, a leading cause of cancer mortality, is often diagnosed by analyzing the grayscale variations in liver tissue across different computed tomography (CT) images. However, the intensity similarity can be strong, making it difficu...
Dual-Tree Complex Wavelet Pooling and Attention-Based Modified U-Net Architecture for Automated Breast Thermogram Segmentation and Classification [0.03%]
基于双树复小波池化和注意力机制的改进型U-Net乳腺热图分割与分类方法
Lalit Garia,Hariharan Muthusamy
Lalit Garia
Thermography is a non-invasive and non-contact method for detecting cancer in its initial stages by examining the temperature variation between both breasts. Preprocessing methods such as resizing, ROI (region of interest) segmentation, and...
Improved Automated Quality Control of Skeletal Wrist Radiographs Using Deep Multitask Learning [0.03%]
基于深度多任务学习的腕关节X线影像自动质量控制方法改进
Guy Hembroff,Chad Klochko,Joseph Craig et al.
Guy Hembroff et al.
Radiographic quality control is an integral component of the radiology workflow. In this study, we developed a convolutional neural network model tailored for automated quality control, specifically designed to detect and classify key attri...