Medical image diagnosis based on adaptive Hybrid Quantum CNN
Hybrid quantum systems have shown promise in image classification by combining the strengths of both classical and quantum algorithms. These systems leverage the parallel processing power of quantum computers ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 14, 2023 Category: Radiology Authors: Naim Ajlouni, Adem Özyavaş, Mustafa Takaoğlu, Faruk Takaoğlu and Firas Ajlouni Tags: Research Source Type: research

A fast and accurate brain extraction method for CT head images
Brain extraction is an essential prerequisite for the automated diagnosis of intracranial lesions and determines, to a certain extent, the accuracy of subsequent lesion recognition, location, and segmentation.... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 12, 2023 Category: Radiology Authors: Dingyuan Hu, Hongbin Liang, Shiya Qu, Chunyu Han and Yuhang Jiang Tags: Research Source Type: research

Clinical value of grayscale ultrasound combined with real-time shear wave elastography nomogram in risk prediction of thyroid cancer
This study constructed a nomogram based on grayscale ultrasound features and real-time shear wave elastography (SWE) parameters to predict thyroid cancer. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 12, 2023 Category: Radiology Authors: Tiantian Ren, Mingfei Jiang, Jiawei Wu, Fan Zhang and Chaoxue Zhang Tags: Research Source Type: research

Differentiating tumour progression from pseudoprogression in glioblastoma patients: a monoexponential, biexponential, and stretched-exponential model-based DWI study
To investigate the diagnostic performance of parameters derived from monoexponential, biexponential, and stretched-exponential diffusion-weighted imaging models in differentiating tumour progression from pseud... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 11, 2023 Category: Radiology Authors: Dan Liao, Yuan-Cheng Liu, Jiang-Yong Liu, Di Wang and Xin-Feng Liu Tags: Research Source Type: research

Effective automatic detection of anterior cruciate ligament injury using convolutional neural network with two attention mechanism modules
To develop a fully automated CNN detection system based on magnetic resonance imaging (MRI) for ACL injury, and to explore the feasibility of CNN for ACL injury detection on MRI images. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 11, 2023 Category: Radiology Authors: Chen Liang, Xiang Li, Yong Qin, Minglei Li, Yingkai Ma, Ren Wang, Xiangning Xu, Jinping Yu, Songcen Lv and Hao Luo Tags: Research Source Type: research

75% radiation dose reduction using deep learning reconstruction on low-dose chest CT
Few studies have explored the clinical feasibility of using deep-learning reconstruction to reduce the radiation dose of CT. We aimed to compare the image quality and lung nodule detectability between chest CT... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 11, 2023 Category: Radiology Authors: Gyeong Deok Jo, Chulkyun Ahn, Jung Hee Hong, Da Som Kim, Jongsoo Park, Hyungjin Kim, Jong Hyo Kim, Jin Mo Goo and Ju Gang Nam Tags: Research Source Type: research

Differences between CEUS LI-RADS and CECT LI-RADS in the diagnosis of focal liver lesions in patients at risk for HCC
To compare the inter-modality consistency and diagnostic performances of the contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) and contrast-enhanced computed tomography (CEC... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 11, 2023 Category: Radiology Authors: Rong Wen, Weiche Huang, Rui Song, Lanhui Qin, Yuquan Wu, Yuting Peng, Xiongyan Huang, Yun He and Hong Yang Tags: Research Source Type: research

A clinical radiomics nomogram preoperatively to predict ductal carcinoma in situ with microinvasion in women with biopsy-confirmed ductal carcinoma in situ: a preliminary study
To predict ductal carcinoma in situ with microinvasion (DCISMI) based on clinicopathologic, conventional breast magnetic resonance imaging (MRI), and dynamic contrast enhanced MRI (DCE-MRI) radiomics signature... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 7, 2023 Category: Radiology Authors: Zhou Huang, Xue Chen, Nan Jiang, Su Hu and Chunhong Hu Tags: Research Source Type: research

The role of ultrasonography in diagnosing acute closed volar plate injury of proximal interphalangeal joint
Acute closed volar plate injury of the proximal interphalangeal joint (PIP) is a common hand injury. In the past, there were few objective evaluation imaging methods for the degree of volar plate injury. The p... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - September 4, 2023 Category: Radiology Authors: Tiezheng Wang, Fei Guo, Hengtao Qi, Liyuan Cui, Lihua Liu, Shougang Bao and Jianbo Teng Tags: Research article Source Type: research

Multiparametric MRI radiomics for the differentiation of brain glial cell hyperplasia from low-grade glioma
Differentiating between low-grade glioma and brain glial cell hyperplasia is crucial for the customized clinical treatment of patients. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - August 31, 2023 Category: Radiology Authors: Siqian Gu, Jing Qian, Ling Yang, Zhilei Sun, Chunhong Hu, Ximing Wang, Su Hu and Yuyang Xie Tags: Research Source Type: research

Ceusia-Breast: computer-aided diagnosis with contrast enhanced ultrasound image analysis for breast lesions
In recent years, contrast-enhanced ultrasonography (CEUS) has been used for various applications in breast diagnosis. The superiority of CEUS over conventional B-mode imaging in the ultrasound diagnosis of the... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - August 29, 2023 Category: Radiology Authors: Satoshi Kondo, Megumi Satoh, Mutsumi Nishida, Ryousuke Sakano and Kazuya Takagi Tags: Research article Source Type: research

Diagnostic performance of radiomics model for preoperative risk categorization in thymic epithelial tumors: a systematic review and meta-analysis
Incidental thymus region masses during thoracic examinations are not uncommon. The clinician ’s decision-making for treatment largely depends on imaging findings. Due to the lack of specific indicators, it may ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - August 29, 2023 Category: Radiology Authors: Xue-Fang Lu and Tie-Yuan Zhu Tags: Research Source Type: research

Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis
To build a combined model based on the ultrasound radiomic and morphological features, and evaluate its diagnostic performance for preoperative prediction of central lymph node metastasis (CLNM) in patients wi... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - August 24, 2023 Category: Radiology Authors: Xiang Yan, Xurong Mou, Yanan Yang, Jing Ren, Xingxu Zhou, Yifei Huang and Hongmei Yuan Tags: Research Source Type: research

The differential value of radiomics based on traditional T1-weighted sequences in newborns with hyperbilirubinemia
On the basis of visual-dependent reading method, radiological recognition and assessment of neonatal hyperbilirubinemia (NH) or acute bilirubin encephalopathy (ABE) on conventional magnetic resonance imaging (... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - August 24, 2023 Category: Radiology Authors: Yan Sun, Yi Liao, Fenglin Jia, Gang Ning, Xinrong Wang, Yujin Zhang, Pei Li and Haibo Qu Tags: Research Source Type: research

Evaluation of convolutional neural networks for the detection of inter-breath-hold motion from a stack of cardiac short axis slice images
This study aimed to develop and validate a deep learning-based method that detects inter-breath-hold motion from an estimated cardiac long axis image reconstructed from a stack of short axis cardiac cine images. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - August 24, 2023 Category: Radiology Authors: Yoon-Chul Kim and Min Woo Kim Tags: Research Source Type: research