The value of a neural network based on multi-scale feature fusion to ultrasound images for the differentiation in thyroid follicular neoplasms
The objective of this research was to create a deep learning network that utilizes multiscale images for the classification of follicular thyroid carcinoma (FTC) and follicular thyroid adenoma (FTA) through pr... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 27, 2024 Category: Radiology Authors: Weiwei Chen, Xuejun Ni, Cheng Qian, Lei Yang, Zheng Zhang, Mengdan Li, Fanlei Kong, Mengqin Huang, Maosheng He and Yifei Yin Tags: Research Source Type: research
Classification of cognitive ability of healthy older individuals using resting-state functional connectivity magnetic resonance imaging and an extreme learning machine
Quantitative determination of the correlation between cognitive ability and functional biomarkers in the older brain is essential. To identify biomarkers associated with cognitive performance in the older, thi... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 26, 2024 Category: Radiology Authors: Shiying Zhang, Manling Ge, Hao Cheng, Shenghua Chen, Yihui Li and Kaiwei Wang Tags: Research Source Type: research
Correction: Evaluating renal iron overload in diabetes mellitus by blood oxygen level-dependent magnetic resonance imaging: a longitudinal experimental study
(Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 26, 2024 Category: Radiology Authors: Weiwei Geng, Liang Pan, Liwen Shen, Yuanyuan Sha, Jun Sun, Shengnan Yu, Jianguo Qiu and Wei Xing Tags: Correction Source Type: research
Characteristics of high frame frequency contrast-enhanced ultrasound in renal tumors
This study aims to analyze the characteristics of high frame rate contrast-enhanced ultrasound (H-CEUS) in renal lesions and to improve the ability for differential diagnosis of renal tumors. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 25, 2024 Category: Radiology Authors: WeiPing Zhang, JingLing Wang and Li Chen Tags: Research Source Type: research
Comparison of ASL and DSC perfusion methods in the evaluation of response to treatment in patients with a history of treatment for malignant brain tumor
Perfusion MRI is of great benefit in the post-treatment evaluation of brain tumors. Interestingly, dynamic susceptibility contrast-enhanced (DSC) perfusion has taken its place in routine examination for this p... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 22, 2024 Category: Radiology Authors: Ezgi Suat Bayraktar, Gokhan Duygulu, Yusuf Kenan Çetinoğlu, Mustafa Fazıl Gelal, Melda Apaydın and Hülya Ellidokuz Tags: Research Source Type: research
Malignancy diagnosis of liver lesion in contrast enhanced ultrasound using an end-to-end method based on deep learning
Contrast-enhanced ultrasound (CEUS) is considered as an efficient tool for focal liver lesion characterization, given it allows real-time scanning and provides dynamic tissue perfusion information. An accurate... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 21, 2024 Category: Radiology Authors: Hongyu Zhou, Jianmin Ding, Yan Zhou, Yandong Wang, Lei Zhao, Cho-Chiang Shih, Jingping Xu, Jianan Wang, Ling Tong, Zhouye Chen, Qizhong Lin and Xiang Jing Tags: Research Source Type: research
Predictive value of cyst/tumor volume ratio of pituitary adenoma for tumor cell proliferation
MRI has been widely used to predict the preoperative proliferative potential of pituitary adenoma (PA). However, the relationship between the cyst/tumor volume ratio (C/T ratio) and the proliferative potential... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 21, 2024 Category: Radiology Authors: Jianwu Wu, Fangfang Zhang, Yinxing Huang, Liangfeng Wei, Tao Mei, Shousen Wang, Zihuan Zeng and Wei Wang Tags: Research Source Type: research
Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI
Clinical data warehouses provide access to massive amounts of medical images, but these images are often heterogeneous. They can for instance include images acquired both with or without the injection of a gad... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 20, 2024 Category: Radiology Authors: Simona Bottani, Elina Thibeau-Sutre, Aur élien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot and Ninon Burgos Tags: Research Source Type: research
Unified deep learning models for enhanced lung cancer prediction with ResNet-50 –101 and EfficientNet-B3 using DICOM images
Significant advancements in machine learning algorithms have the potential to aid in the early detection and prevention of cancer, a devastating disease. However, traditional research methods face obstacles, a... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 18, 2024 Category: Radiology Authors: Vinod Kumar, Chander Prabha, Preeti Sharma, Nitin Mittal, S. S. Askar and Mohamed Abouhawwash Tags: Research Source Type: research
Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer
Medullary Thyroid Carcinoma (MTC) is a rare type of thyroid cancer. Accurate prediction of lateral cervical lymph node metastases (LCLNM) in MTC patients can help guide surgical decisions and ensure that patie... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 18, 2024 Category: Radiology Authors: Zhiqiang Liu, Xiwei Zhang, Xiaohui Zhao, Qianqian Guo, Zhengjiang Li, Minghui Wei, Lijuan Niu and Changming An Tags: Research Source Type: research
Development and validation of a multi-modal ultrasomics model to predict response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
To assess the performance of multi-modal ultrasomics model to predict efficacy to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC) and compare with the clinical model. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 18, 2024 Category: Radiology Authors: Qiong Qin, Xiangyu Gan, Peng Lin, Jingshu Pang, Ruizhi Gao, Rong Wen, Dun Liu, Quanquan Tang, Changwen Liu, Yun He, Hong Yang and Yuquan Wu Tags: Research Source Type: research
Altered trends of local brain function in classical trigeminal neuralgia patients after a single trigger pain
To investigate the altered trends of regional homogeneity (ReHo) based on time and frequency, and clarify the time-frequency characteristics of ReHo in 48 classical trigeminal neuralgia (CTN) patients after a ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 18, 2024 Category: Radiology Authors: Juncheng Yan, Luoyu Wang, Lei Pan, Haiqi Ye, Xiaofen Zhu, Qi Feng, Haibin Wang, Zhongxiang Ding and Xiuhong Ge Tags: Research Source Type: research
Hybrid transformer convolutional neural network-based radiomics models for osteoporosis screening in routine CT
Early diagnosis of osteoporosis is crucial to prevent osteoporotic vertebral fracture and complications of spine surgery. We aimed to conduct a hybrid transformer convolutional neural network (HTCNN)-based rad... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 14, 2024 Category: Radiology Authors: Jiachen Liu, Huan Wang, Xiuqi Shan, Lei Zhang, Shaoqian Cui, Zelin Shi, Yunpeng Liu, Yingdi Zhang and Lanbo Wang Tags: Research Source Type: research
Improving the diagnosis and treatment of congenital heart disease through the combination of three-dimensional echocardiography and image guided surgery
The paper aimed to improve the accuracy limitations of traditional two-dimensional ultrasound and surgical procedures in the diagnosis and management of congenital heart disease (chd), and to improve the diagn... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 13, 2024 Category: Radiology Authors: Yong Jiang Tags: Research Source Type: research
A noninvasive method for predicting clinically significant prostate cancer using magnetic resonance imaging combined with PRKY promoter methylation level: a machine learning study
Traditional process for clinically significant prostate cancer (csPCA) diagnosis relies on invasive biopsy and may bring pain and complications. Radiomic features of magnetic resonance imaging MRI and methylat... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - March 11, 2024 Category: Radiology Authors: Yufei Wang, Weifeng Liu, Zeyu Chen, Yachen Zang, Lijun Xu, Zheng Dai, Yibin Zhou and Jin Zhu Tags: Research Source Type: research
