Comparison of vestibular aqueduct visualization on computed tomography and magnetic resonance imaging in patients with M énière’s disease
The vestibular aqueduct (VA) serves an essential role in homeostasis of the inner ear and pathogenesis of M énière’s disease (MD). The bony VA can be clearly depicted by high-resolution computed tomography (HRC... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 22, 2024 Category: Radiology Authors: Kaijun Xia, Ping Lei, Yingzhao Liu, Cen Chen, Hui Pan, Yangming Leng and Bo Liu Tags: Research Source Type: research
Deep learning model for pleural effusion detection via active learning and pseudo-labeling: a multisite study
The study aimed to develop and validate a deep learning-based Computer Aided Triage (CADt) algorithm for detecting pleural effusion in chest radiographs using an active learning (AL) framework. This is aimed a... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 19, 2024 Category: Radiology Authors: Joseph Chang, Bo-Ru Lin, Ti-Hao Wang and Chung-Ming Chen Tags: Research Source Type: research
Construction of a nomogram for predicting compensated cirrhosis with Wilson ’s disease based on non-invasive indicators
Wilson ’s disease (WD) often leads to liver fibrosis and cirrhosis, and early diagnosis of WD cirrhosis is essential. Currently, there are few non-invasive prediction models for WD cirrhosis. The purpose of thi... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 16, 2024 Category: Radiology Authors: Yan Li, Jing Ping Wang and Xiaoli Zhu Tags: Research Source Type: research
Lymph node metastasis prediction and biological pathway associations underlying DCE-MRI deep learning radiomics in invasive breast cancer
This study explored the value of DLR based... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 16, 2024 Category: Radiology Authors: Wenci Liu, Wubiao Chen, Jun Xia, Zhendong Lu, Youwen Fu, Yuange Li and Zhi Tan Tags: Research Source Type: research
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study
Accurate preoperative identification of ovarian tumour subtypes is imperative for patients as it enables physicians to custom-tailor precise and individualized management strategies. So, we have developed an u... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 15, 2024 Category: Radiology Authors: Yangchun Du, Wenwen Guo, Yanju Xiao, Haining Chen, Jinxiu Yao and Ji Wu Tags: Research Source Type: research
The feasibility of half-dose contrast-enhanced scanning of brain tumours at 5.0 T: a preliminary study
This study investigated and compared the effects of Gd enhancement on brain tumours with a half-dose of contrast medium at 5.0 T and with a full dose at 3.0 T. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 13, 2024 Category: Radiology Authors: Zhiyong Jiang, Wenbo Sun, Dan Xu, Hao Mei, Jianmin Yuan, Xiaopeng Song, Chao Ma and Haibo Xu Tags: Research Source Type: research
Role of radiomics in staging liver fibrosis: a meta-analysis
This study evaluates the role of radiomics in staging liver fibrosis. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 12, 2024 Category: Radiology Authors: Xiao-min Wang and Xiao-jing Zhang Tags: Research Source Type: research
Remote sensing image information extraction based on Compensated Fuzzy Neural Network and big data analytics
Medical imaging AI systems and big data analytics have attracted much attention from researchers of industry and academia. The application of medical imaging AI systems and big data analytics play an important... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 10, 2024 Category: Radiology Authors: Rui Sun, Zhengyin Zhang, Yajun Liu, Xiaohang Niu and Jie Yuan Tags: Research Source Type: research
Amide proton transfer weighted and diffusion weighted imaging based radiomics classification algorithm for predicting 1p/19q co-deletion status in low grade gliomas
1p/19q co-deletion in low-grade gliomas (LGG, World Health Organization grade II and III) is of great significance in clinical decision making. We aim to use radiomics analysis to predict 1p/19q co-deletion in... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 10, 2024 Category: Radiology Authors: Andong Ma, Xinran Yan, Yaoming Qu, Haitao Wen, Xia Zou, Xinzi Liu, Mingjun Lu, Jianhua Mo and Zhibo Wen Tags: Research Source Type: research
Radiomics-based discrimination of coronary chronic total occlusion and subtotal occlusion on coronary computed tomography angiography
Differentiating chronic total occlusion (CTO) from subtotal occlusion (SO) is often difficult to make from coronary computed tomography angiography (CCTA). We developed a CCTA-based radiomics model to differen... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 9, 2024 Category: Radiology Authors: Jun Li, Lichen Ren, Hehe Guo, Haibo Yang, Jingjing Cui and Yonggao Zhang Tags: Research Source Type: research
Dynamic radiomics based on contrast-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma
To exploit the improved prediction performance based on dynamic contrast-enhanced (DCE) MRI by using dynamic radiomics for microvascular invasion (MVI) in hepatocellular carcinoma (HCC). (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 8, 2024 Category: Radiology Authors: Rui Zhang, Yao Wang, Zhi Li, Yushu Shi, Danping Yu, Qiang Huang, Feng Chen, Wenbo Xiao, Yuan Hong and Zhan Feng Tags: Research Source Type: research
Correction: Evaluating the consistency in different methods for measuring left atrium diameters
(Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 8, 2024 Category: Radiology Authors: Jun-Yan Yue, Kai Ji, Hai-Peng Liu, Qing-Wu Wu, Chang-Hua Liang and Jian-Bo Gao Tags: Correction Source Type: research
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer
Breast Cancer is a significant global health challenge, particularly affecting women with higher mortality compared with other cancer types. Timely detection of such cancer types is crucial, and recent researc... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 8, 2024 Category: Radiology Authors: S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani and Suresh Guluwadi Tags: Research Source Type: research
Deep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology
The research focuses on the segmentation and classification of leukocytes, a crucial task in medical image analysis for diagnosing various diseases. The leukocyte dataset comprises four classes of images such ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 8, 2024 Category: Radiology Authors: Vatsala Anand, Sheifali Gupta, Deepika Koundal, Wael Y. Alghamdi and Bayan M. Alsharbi Tags: Research Source Type: research
A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound
Self-supervised pretraining has been observed to be effective at improving feature representations for transfer learning, leveraging large amounts of unlabelled data. This review summarizes recent research int... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - April 6, 2024 Category: Radiology Authors: Blake VanBerlo, Jesse Hoey and Alexander Wong Tags: Review Source Type: research
