Results 51 to 60 of about 52,953 (291)

Head-Neck-Radiomics-HN1 data processed with Pyradiomics ready to use for data analysis

, 2020
We downloaded Head-Neck-Radiomics-HN1, align CT and segmentation images and use PyRadiomics to extract all kind of features for data analysis. CSV contains all the features.
Oier Echaniz, Oier Echaniz (5708102), Manuel Graña, Manuel Graña (514385), Carlos Chiesa-Estomba, Carlos Chiesa-Estomba (8432787)   +5 more
core   +1 more source

Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach

Multimodal Technologies and Interaction
Radiomics involves extracting quantitative features from medical images, resulting in high-dimensional data. Unsupervised clustering has been used to discover patterns in radiomic features, potentially yielding hidden biological insights.
S. J. Pawan, Matthew Muellner, Xiaomeng Lei, Mihir Desai, Bino Varghese, Vinay Duddalwar, Steven Y. Cen   +6 more
doaj   +1 more source

An Improvement of Survival Stratification in Glioblastoma Patients via Combining Subregional Radiomics Signatures

Frontiers in Neuroscience, 2021
PurposeTo investigate whether combining multiple radiomics signatures derived from the subregions of glioblastoma (GBM) can improve survival prediction of patients with GBM.MethodsIn total, 129 patients were included in this study and split into training
Yang Yang, Yang Yang, Yu Han, Xintao Hu, Wen Wang, Guangbin Cui, Lei Guo, Lei Guo, Xin Zhang   +8 more
doaj   +1 more source

The transformational potential of molecular radiomics

Journal of Medical Radiation Sciences, 2023
Conventional radiomics in nuclear medicine involve hand‐crafted and computer‐assisted regions of interest. Recent developments in artificial intelligence (AI) have seen the emergence of AI‐augmented segmentation and extraction of lower order traditional ...
Geoffrey Currie, K Elizabeth Hawk, Eric Rohren   +2 more
doaj   +1 more source

Radiomics and dosiomics for predicting radiation-induced hypothyroidism and guiding intensity-modulated radiotherapy

iScience, 2023
Summary: To guide individualized intensity-modulated radiotherapy (IMRT), we developed and prospectively validated a multiview radiomics risk model for predicting radiation-induced hypothyroidism in patients with nasopharyngeal carcinoma.
Shan-Shan Yang, Qing-He Peng, Ai-Qian Wu, Bao-Yu Zhang, Zhi-Qiao Liu, En-Ni Chen, Fang-Yun Xie, Pu-Yun OuYang, Chun-Yan Chen   +8 more
doaj   +1 more source

Comparison of Magnetic Resonance Imaging-Based Radiomics Features with Nomogram for Prediction of Prostate Cancer Invasion

, 2023
Yang Liu X-Ray Department, The No.1 People’s Hospital of Huzhou, Huzhou, Zhejiang, 313000, People’s Republic of ChinaCorrespondence: Yang Liu, X-ray department, The No.1 People’s hospital of Huzhou, No.
Liu Y
core  

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Towards reproducible radiomics research: introduction of a database for radiomics studies

European Radiology, 2023
Abstract Objectives To investigate the model-, code-, and data-sharing practices in the current radiomics research landscape and to introduce a radiomics research database. Methods A total of 1254 articles published between January 1, 2021, and December 31, 2022, in leading ...
Akinci D'Antonoli, Tugba, Cuocolo, Renato, Baessler, Bettina, Pinto Dos Santos, Daniel   +3 more
openaire   +3 more sources

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

A CT-based radiomics approach to predict intra-tumoral tertiary lymphoid structures and recurrence of intrahepatic cholangiocarcinoma

Insights into Imaging, 2023
Purpose To predict the tertiary lymphoid structures (TLSs) status and recurrence-free survival (RFS) of intrahepatic cholangiocarcinoma (ICC) patients using preoperative CT radiomics.
Ying Xu, Zhuo Li, Yi Yang, Lu Li, Yanzhao Zhou, Jingzhong Ouyang, Zhen Huang, Sicong Wang, Lizhi Xie, Feng Ye, Jinxue Zhou, Jianming Ying, Hong Zhao, Xinming Zhao   +13 more
doaj   +1 more source