Arwa H Alshanbari,Salha M Alzahrani
Arwa H Alshanbari
This review provides a comprehensive analysis of recent advancements in generative deep learning (DL) models applied to diagnostic medical imaging, emphasizing their transformative potential in enhancing diagnostic accuracy, reducing radiat...
Impact of Contrast Agent Viscosity and Fallopian Tube Inner Diameter on Tubal Visualization in MR Hysterosalpingography: A Phantom Study [0.03%]
关于对比剂粘度和输卵管内径对磁共振子宫输卵管成像显影效果影响的体模研究
Jin Ding,Lei Shan,Huanzhi Ding et al.
Jin Ding et al.
Introduction: MR-HSG offers radiation-free multiplanar visualization for evaluating fallopian tube patency, but persistent challenges in achieving consistent high-quality visualization, particularly in smaller-diameter se...
An Automated Hybrid Deep Learning-based Model for Breast Cancer Detection using Mammographic Images [0.03%]
基于自动混合深度学习模型的乳腺癌检测方法研究
Ongole Gandhi,S N Tirumala Rao,M H M Krishna Prasad
Ongole Gandhi
Introduction: Breast cancer is a disease in which abnormal breast cells grow uncontrollably and develop into a tumor. It is one of the most common cancers that affects women around the world. The most often used imaging t...
Liuping Zhu,Yingjie Shao,Wendong Gu
Liuping Zhu
Rectal cancer (RC), one of the most common malignant tumors, has a high incidence rate and mortality rate worldwide. Radiomics turns medical images into high-dimensional mineable data through high-throughput extraction algorithms, where the...
Two Deep Image Reconstructions for a 320-Row CT: Review of Clinical Applications [0.03%]
一种320排CT的两种深度图像重建方法及其临床应用综述
Wanhui Zhou,Sihua Zhong,Jing Li et al.
Wanhui Zhou et al.
With the increasing popularity and clinical adoption of deep learning in CT image reconstruction, two distinct approaches have emerged under the concept of 'deep' reconstruction: Deep Learning Reconstruction (DLR) and Deep Iterative Reconst...
Georgios D Panos,Georgios N Tsiropoulos,Efstratia Amaxilati et al.
Georgios D Panos et al.
Advances in Imaging-based Diagnosis and Treatment Strategies for AIDSRelated Cerebral Toxoplasmosis [0.03%]
基于影像的艾滋病相关弓形虫脑病诊断和治疗策略的新进展
Zhiguang Si,Hong Yang,Wangpin Meng et al.
Zhiguang Si et al.
Cerebral toxoplasmosis is one of the most common opportunistic infections among AIDS patients. Clinical and neuroimaging manifestations are diverse and non-specific, resulting in frequent delayed diagnosis and even misdiagnosis, leading to ...
Dedifferentiated Liposarcoma of the Epididymis: A Rare Case Report and Analysis [0.03%]
睾丸副神经节瘤并坏死分化的脂肪肉瘤一例及相关文献分析
Ang Li,Xukun Gao,Zhijie Wang et al.
Ang Li et al.
Introduction: Dedifferentiated liposarcoma is a rare type of mesenchymal sarcoma. Although most cases occur in the retroperitoneum or extremities, this report presents a rare case of dedifferentiated liposarcoma in the ep...
Evaluation of Volumetric Reference Ranges for SPECT MPI Parameters and the Predictive Power of Dyssynchrony Parameters: A Cross-Sectional Study [0.03%]
评估SPECT心肌灌注显像参数的体积参考范围及异步性参数预测能力：横断面研究
Ahmad Alenezi,Zekun Jiang,Mohammad Alshaheen et al.
Ahmad Alenezi et al.
Introduction: This study aims to evaluate reference ranges for SPECT Myocardial Perfusion Imaging (MPI) parameters using Myoview® (tetrofosmin) radiopharmaceutical and Myovation® processing software. This study also aim...
Correlation Between BI-RADS 4 Subcategories and Histopathological Outcomes in Mexican Women With Breast Lesions: A Retrospective Study of Lesion Laterality and Cancer Incidence [0.03%]
BI-RADS 4各类别与墨西哥女性乳腺病变组织病理结果相关性的回顾性研究：按病灶侧别统计的癌症发生情况
Jose-Emmanuel Castro-Palomares,Irma-Gabriela Sanchez-Rodriguez,Adriana Reyes-Dircio et al.
Jose-Emmanuel Castro-Palomares et al.
Introduction The Breast Imaging Reporting and Data System (BI-RADS) category 4 is subdivided into 4A, 4B, and 4C to reflect varying levels of suspicion for malignancy. However, the predictive consistency of these subcategories remains debat...