Results 81 to 90 of about 43,566 (284)

Differentiation of retroperitoneal paragangliomas and schwannomas based on computed tomography radiomics

Scientific Reports, 2023
The purpose of this study was to differentiate the retroperitoneal paragangliomas and schwannomas using computed tomography (CT) radiomics. This study included 112 patients from two centers who pathologically confirmed retroperitoneal pheochromocytomas ...
Yuntai Cao, Zhan Wang, Jialiang Ren, Wencun Liu, Huiwen Da, Xiaotong Yang, Haihua Bao   +6 more
doaj   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Quantitative Analysis of TP53-Related Lung Cancer Based on Radiomics [PDF]

, 2022
Hongyu Qiao,1 Zhongxiang Ding,2 Youcai Zhu,1 Yuguo Wei,3 Baochen Xiao,1 Yongzhen Zhao,1 Qi Feng2 1Zhejiang Rongjun Hospital, Jiaxing, People’s Republic of China; 2Department of Radiology, Affiliated Hangzhou First People’s Hospital, Zhejiang University ...
Qiao H, Zhu Y, Ding Z, Wei Y, Xiao B, Zhao Y, Feng Q   +6 more
core  

MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment [PDF]

, 2023
(1): Background: With the recent introduction of vesical imaging reporting and data system (VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used for the preoperative local staging of bladder cancer (BCa).
Andrei Lebovici, Zoltan Balint, Teodora Telecan, Roxana Pintican, Alexandru Pavel, Mircea Marian Buruian, Cosmin Caraiani, Iulia Andras, Monica Lupsor-Platon, Laura Diosan, Bianca Boca, Nicolae Crisan   +11 more
core   +1 more source

A Study on Energy Consumption in AI-Driven Medical Image Segmentation

Journal of Imaging
As artificial intelligence advances in medical image analysis, its environmental impact remains largely overlooked. This study analyzes the energy demands of AI workflows for medical image segmentation using the popular Kidney Tumor Segmentation-2019 ...
R. Prajwal, S. J. Pawan, Shahin Nazarian, Nicholas Heller, Christopher J. Weight, Vinay Duddalwar, C.-C. Jay Kuo   +6 more
doaj   +1 more source

QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research

European Radiology Experimental, 2023
Background Radiomics, the field of image-based computational medical biomarker research, has experienced rapid growth over the past decade due to its potential to revolutionize the development of personalized decision support models. However, despite its
Daniel Abler, Roger Schaer, Valentin Oreiller, Himanshu Verma, Julien Reichenbach, Orfeas Aidonopoulos, Florian Evéquoz, Mario Jreige, John O. Prior, Adrien Depeursinge   +9 more
doaj   +1 more source

Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus Pneumonia

Frontiers in Public Health, 2021
Objectives: To develop and validate a radiomics model for distinguishing coronavirus disease 2019 (COVID-19) pneumonia from influenza virus pneumonia.Materials and Methods: A radiomics model was developed on the basis of 56 patients with COVID-19 ...
Liaoyi Lin, Jinjin Liu, Qingshan Deng, Na Li, Jingye Pan, Houzhang Sun, Shichao Quan   +6 more
doaj   +1 more source

Multiscale Spatial Fusion Feature‐Driven Characterization of Gastric Cancer Invasive Margins: A Multicenter Cohort Study for Preoperative Accurate Differentiation Between T4a and T4b Subtypes

Advanced Science, EarlyView.
This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng, Xiaomiao Chai, Peng Jin, Xin Xin, Yingjie Li, Chun Yang, Jia Wei, Zishuo Yan, Jingyu Zhang, Qianning Zhao, Yingchen Han, Ning Zhang, Fuze Li, Bo Qiao, Huan Wang, Huachuan Zheng, Yan Li, Xin Zhang, Yan Zhao, Wenjun Mao, Jing Zhang   +20 more
wiley   +1 more source

Radiomics and Its Feature Selection: A Review [PDF]

, 2023
Medical imaging plays an indispensable role in evaluating, predicting, and monitoring a range of medical conditions. Radiomics, a specialized branch of medical imaging, utilizes quantitative features extracted from medical images to describe underlying ...
Yu Guo, Wenchao Zhang, Qiyu Jin
core   +1 more source

A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still lacking?

npj Precision Oncology
The search for understanding immunotherapy response has sparked interest in diverse areas of oncology, with artificial intelligence (AI) and radiomics emerging as promising tools, capable of gathering large amounts of information to identify suitable ...
Marta Ligero, Bente Gielen, Victor Navarro, Pablo Cresta Morgado, Olivia Prior, Rodrigo Dienstmann, Paolo Nuciforo, Stefano Trebeschi, Regina Beets-Tan, Evis Sala, Elena Garralda, Raquel Perez-Lopez   +11 more
doaj   +1 more source