Improving MR image quality with a multi-task model, using convolutional losses
During the acquisition of MRI data, patient-, sequence-, or hardware-related factors can introduce artefacts that degrade image quality. Four of the most significant tasks for improving MRI image quality have ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - October 2, 2023 Category: Radiology Authors: Attila Simk ó, Simone Ruiter, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Mikael Bylund and Joakim Jonsson Tags: Research Source Type: research
Evaluation of CI electrode position from imaging: comparison of an automated technique with the established manual method
A manual evaluation of the CI electrode position from CT and DVT scans may be affected by diagnostic errors due to cognitive biases. The aim of this study was to compare the CI electrode localization using an ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 29, 2023 Category: Radiology Authors: Alexander Mewes, Christopher Bennett, Jan Dambon, Goetz Brademann and Matthias Hey Tags: Research Source Type: research
Multimodal magnetic resonance imaging in the diagnosis of cervical cancer and its correlation with the differentiation process of cervical cancer
This study seeks to evaluate the value of MRI (Magnetic resonance imaging) diffusion weighted images (DWI), diffusion kurtosis imaging (DKI) and intravoxel incoherent motion (IVIM) in the diagnosis of cervical... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 29, 2023 Category: Radiology Authors: Heng Meng, Xin Guo and Duo Zhang Tags: Research Source Type: research
Hippocampus segmentation after brain tumor resection via postoperative region synthesis
Accurately segmenting the hippocampus is an essential step in brain tumor radiotherapy planning. Some patients undergo brain tumor resection beforehand, which can significantly alter the postoperative regions ’... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 28, 2023 Category: Radiology Authors: Changjuan Tao, Difei Gu, Rui Huang, Ling Zhou, Zhiqiang Hu, Yuanyuan Chen, Xiaofan Zhang and Hongsheng Li Tags: Research Source Type: research
MRI-based machine learning models predict the malignant biological behavior of meningioma
This study aims to develop MRI-based machine learning models to predict the malignant bio... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 27, 2023 Category: Radiology Authors: Maoyuan Li, Luzhou Liu, Jie Qi, Ying Qiao, Hanrui Zeng, Wen Jiang, Rui Zhu, Fujian Chen, Huan Huang and Shaoping Wu Tags: Research Source Type: research
Point-wise spatial network for identifying carcinoma at the upper digestive and respiratory tract
Artificial intelligence has been widely investigated for diagnosis and treatment strategy design, with some models proposed for detecting oral pharyngeal, nasopharyngeal, or laryngeal carcinoma. However, no co... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 25, 2023 Category: Radiology Authors: Lei Zhou, Huaili Jiang, Guangyao Li, Jiaye Ding, Cuicui Lv, Maoli Duan, Wenfeng Wang, Kongyang Chen, Na Shen and Xinsheng Huang Tags: Research Source Type: research
Preoperative fistula diagnostics in male anorectal malformations after colostomy: a single-center experience
Accurate preoperative fistula diagnostics in male anorectal malformations (ARM) after colostomy are of great significance. We reviewed our institutional experiences and explored methods for improving the preop... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 25, 2023 Category: Radiology Authors: Jianxi Bai, Bing Zhang and Kaiwu Lin Tags: Research Source Type: research
Added value of CE-CT radiomics to predict high Ki-67 expression in hepatocellular carcinoma
This study aimed to develop a computed tomography (CT) model to predict Ki-67 expression in hepatocellular carcinoma (HCC) and to examine the added value of radiomics to clinico-radiological features. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 22, 2023 Category: Radiology Authors: Yu-meng Zhao, Shuang-shuang Xie, Jian Wang, Ya-min Zhang, Wen-Cui Li, Zhao-Xiang Ye and Wen Shen Tags: Research Source Type: research
Automated cervical cell segmentation using deep ensemble learning
Cervical cell segmentation is a fundamental step in automated cervical cancer cytology screening. The aim of this study was to develop and evaluate a deep ensemble model for cervical cell segmentation includin... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 21, 2023 Category: Radiology Authors: Jie Ji, Weifeng Zhang, Yuejiao Dong, Ruilin Lin, Yiqun Geng and Liangli Hong Tags: Research Source Type: research
Brain structural correlates of postoperative axial pain in degenerative cervical myelopathy patients following posterior cervical decompression surgery: a voxel-based morphometry study
To investigate the brain structural correlates of postoperative axial pain (PAP) in degenerative cervical myelopathy (DCM) following posterior cervical decompression surgery. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 19, 2023 Category: Radiology Authors: Aixian Tian, Hongzhi Gao, Zhan Wang, Na Li, Jianxiong Ma, Lin Guo and Xinlong Ma Tags: Research Source Type: research
Unsupervised registration of 3D knee implant components to biplanar X-ray images
Registration of three-dimensional (3D) knee implant components to radiographic images provides the 3D position of the implants which aids to analyze the component alignment after total knee arthroplasty. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 18, 2023 Category: Radiology Authors: Dac Cong Tai Nguyen, Said Benameur, Max Mignotte and Frédéric Lavoie Tags: Research article Source Type: research
HDSNE a new unsupervised multiple image database fusion learning algorithm with flexible and crispy production of one database: a proof case study of lung infection diagnose In chest X-ray images
Continuous release of image databases with fully or partially identical inner categories dramatically deteriorates the production of autonomous Computer-Aided Diagnostics (CAD) systems for true comprehensive m... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 18, 2023 Category: Radiology Authors: Muhammad Atta Othman Ahmed, Ibrahim A. Abbas and Yasser AbdelSatar Tags: Research Source Type: research
Novel model based on ultrasound predict axillary lymph node metastasis in breast cancer
Whether there is axillary lymph node metastasis is crucial for formulating the treatment plan for breast cancer. Currently, invasive methods are still used for preoperative evaluation of lymph nodes. If non-in... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 18, 2023 Category: Radiology Authors: Biyu Zheng and Qingshuang Chen Tags: Research Source Type: research
Delineation and detection of breast cancer using novel label-free fluorescence
Accurate diagnosis of breast cancer (BC) plays a crucial role in clinical pathology analysis and ensuring precise surgical margins to prevent recurrence. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 16, 2023 Category: Radiology Authors: Alaaeldin Mahmoud and Yasser H. El-Sharkawy Tags: Research Source Type: research
Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review
Vision transformer-based methods are advancing the field of medical artificial intelligence and cancer imaging, including lung cancer applications. Recently, many researchers have developed vision transformer-... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 15, 2023 Category: Radiology Authors: Hazrat Ali, Farida Mohsen and Zubair Shah Tags: Research Article Source Type: research
