A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace
Convolutional neural network-based image processing research is actively being conducted for pathology image analysis. As a convolutional neural network model requires a large amount of image data for training... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - January 2, 2024 Category: Radiology Authors: Mujin Kim, Willmer Rafell Qui ñones Robles, Young Sin Ko, Bryan Wong, Sol Lee and Mun Yong Yi Tags: Research Source Type: research
Does the ultrasound imaging predict lower limb tendinopathy in athletes: a systematic review
To conduct a systematic review looking into the possibility of US imaging to anticipate and identify future patellar or Achilles tendinopathy symptoms. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 21, 2023 Category: Radiology Authors: Faiza Sharif, Ashfaq Ahmad and Aliha Shabbir Tags: Research article Source Type: research
Strain ultrasonic elastography imaging features of locally advanced breast cancer: association with response to neoadjuvant chemotherapy and recurrence-free survival
Due to the highly heterogeneity of the breast cancer, it would be desirable to obtain a non-invasive method to early predict the treatment response and survival outcome of the locally advanced breast cancer (L... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 21, 2023 Category: Radiology Authors: Caifeng Wan, Liheng Zhou, Ye Jin, Fenghua Li, Lin Wang, Wenjin Yin, Yaohui Wang, Hongli Li, Lixin Jiang and Jinsong Lu Tags: Research Source Type: research
Preoperative assessment of retroperitoneal Liposarcoma using volume-based 18F-FDG PET/CT: implications for surgical strategy and prognosis
Retroperitoneal liposarcoma (RLPS) poses a challenging scenario for surgeons due to its unpredictable biological behavior. Surgery remains the primary curative option for RLPS; however, the need for additional... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 18, 2023 Category: Radiology Authors: Dao-Ning Liu, Jian-Hui Wu, Zhong-Wu Li, Hai-Yue Wang, Xiu-Yun Tian and Chun-Yi Hao Tags: Research Source Type: research
CT target scanning in the diagnosis of solid pseudopapillary tumor of the pancreas
To discuss the value of computed tomography (CT) iterative reconstruction technique combined with target scanning in the diagnosis of solid pseudopapillary tumor of the pancreas (SPTP). (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 15, 2023 Category: Radiology Authors: Hai-tao Wang, Yu-tao Wang, Zhi-hai Yu, Can Tu, Bin Lu, Liang Yu, Di Feng and Tie-gong Wang Tags: Research Source Type: research
Diagnostic value of computed tomography and magnetic resonance imaging in ovarian malignant mesothelioma
To investigate the diagnostic value of computed tomography (CT) and magnetic resonance imaging (MRI) in ovarian malignant mesothelioma (OMM). (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 14, 2023 Category: Radiology Authors: Hai-tao Wang, Ai-jing Li, Ji-yong Gao, Liang-jiong Wang, Yu-tao Wang, Wen-ying Yu and Jian Zhang Tags: Research Source Type: research
Diagnostic value of 3D volume measurement of central pulmonary artery based on CTPA images in the pulmonary hypertension
This retrospective study aims to evaluate the diagnostic value of volume measurement of central pulmonary arteries using computer tomography pulmonary angiography (CTPA) for predicting pulmonary hypertension (... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 13, 2023 Category: Radiology Authors: Wanwan Zhao, Jialing Guo, Ningli Dong, Huanhuan Hei, Xiaoyi Duan and Cong Shen Tags: Research Source Type: research
Quantitative evaluation of diffusion-weighted MRI for differentiating benign and malignant thyroid nodules larger than 4 cm
Our study aimed to diagnose benign or malignant thyroid nodules larger than 4 cm using quantitative diffusion-weighted imaging (DWI) analysis. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 13, 2023 Category: Radiology Authors: Tingting Zheng, Xiaoli Xie, Zhaoxian Ni, Lang Tang, Pu-Yeh Wu and Bin Song Tags: Research Source Type: research
Diagnosis and detection of pneumonia using weak-label based on X-ray images: a multi-center study
Development and assessment the deep learning weakly supervised algorithm for the classification and detection pneumonia via X-ray. (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 12, 2023 Category: Radiology Authors: Kairou Guo, Jiangbo Cheng, Kaiyuan Li, Lanhui Wang, Yadong Lv and Desen Cao Tags: Research Source Type: research
KRAS status predicted by pretreatment MRI radiomics was associated with lung metastasis in locally advanced rectal cancer patients
Mutated KRAS may indicate an invasive nature and predict prognosis in locally advanced rectal cancer (LARC). We aimed to establish a radiomic model using pretreatment T2W MRIs to predict KRAS status and explor... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 12, 2023 Category: Radiology Authors: Yirong Xiang, Shuai Li, Maxiaowei Song, Hongzhi Wang, Ke Hu, Fengwei Wang, Zhi Wang, Zhiyong Niu, Jin Liu, Yong Cai, Yongheng Li, Xianggao Zhu, Jianhao Geng, Yangzi Zhang, Huajing Teng and Weihu Wang Tags: Research Source Type: research
The value of 3D high-resolution IR-prepared fast spoiled gradient-recalled MRI in the diagnosis of meningeal carcinomatosis involving the cranial nerves
The purpose of this study was to investigate the clinical utility of three-dimension (3D) high-resolution inversion recovery (IR)-prepared fast spoiled gradient-recalled (SPGR) magnetic resonance imaging (MRI)... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 11, 2023 Category: Radiology Authors: Lulu Xuan, Jiafu Huang, Huikang Yin, Zehua Lu, Xiaoliang Yang, Liyue Yang and Chengjun Geng Tags: Research Source Type: research
Image-based AI diagnostic performance for fatty liver: a systematic review and meta-analysis
The gold standard to diagnose fatty liver is pathology. Recently, image-based artificial intelligence (AI) has been found to have high diagnostic performance. We systematically reviewed studies of image-based ... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 11, 2023 Category: Radiology Authors: Qi Zhao, Yadi Lan, Xunjun Yin and Kai Wang Tags: Research Source Type: research
Multi-parametric radiomics of conventional T1 weighted and susceptibility-weighted imaging for differential diagnosis of idiopathic Parkinson ’s disease and multiple system atrophy
This study aims to investigate the potential of radiomics with multiple parameters from conventional T1 weighted imaging (T1WI) and susceptibility weighted imaging (SWI) in distinguishing between idiopathic Pa... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 8, 2023 Category: Radiology Authors: Shuting Bu, Huize Pang, Xiaolu Li, Mengwan Zhao, Juzhou Wang, Yu Liu and Hongmei Yu Tags: Research Source Type: research
A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest
Prostate cancer (PCa) is one of the most common cancers in men worldwide, and its timely diagnosis and treatment are becoming increasingly important. MRI is in increasing use to diagnose cancer and to distingu... (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 8, 2023 Category: Radiology Authors: Haoming Zhuang, Aritrick Chatterjee, Xiaobing Fan, Shouliang Qi, Wei Qian and Dianning He Tags: Research Source Type: research
Value of inversion imaging to diagnosis in differentiating malignant from benign breast masses
We aimed to evaluate the added value of inversion imaging in differentiating between benign and malignant breast masses when combined with the Breast Imaging Reporting and Data System (BI-RADS). (Source: BMC Medical Imaging)
Source: BMC Medical Imaging - December 8, 2023 Category: Radiology Authors: Na Li, Zhongguang Hou, Jiajia Wang, Yu Bi, Xiabi Wu, Yunyun Zhan and Mei Peng Tags: Research Source Type: research
