Abstract The application of radiogenomics in oncology has great prospects in precision medicine. Radiogenomics combines large volumes of radiomic features from medical digital images, genetic data from high-throughput sequencing, and clinical-epidemiological data into mathematical modelling. The amalgamation of radiomics and genomics provides an approach to better study the molecular mechanism of tumour pathogenesis, as well as new evidence-supporting strategies to identify the characteristics of cancer patients, make clinical decisions by predicting prognosis, and improve the development of individualized treatment guidance. In this review, we summarized recent research on radiogenomics applications in solid cancers and presented the chall...
Radiomics is an emerging translational field of medicine based on the extraction of high-dimensional...
Radiomics is an emerging translational field of medicine based on the extraction of high-dimensional...
Background and Objective: Specific treatment for each patient based on their clinical data is one of...
BACKGROUND: Radiogenomics is the extension of radiomics through the combination of genetic and radio...
In the last few years, biomedical research has been boosted by the technological development of anal...
(1) Background: Radiogenomics is motivated by the concept that biomedical images contain information...
From diagnostics to prognosis to response prediction, new applications for radiomics are rapidly bei...
The growing complexity and volume of clinical data and the associated decision-making processes in o...
Abstract Since the discovery of X-rays at the end of the 19th century, medical imageology has progre...
Radiomics is an emerging field of medical diagnostics that combines data science and medical imaging...
Radiomics supposes an alternative non-invasive tumor characterization tool, which has experienced in...
Radiomics has been playing a pivotal role in oncological translational imaging, particularly in canc...
Introduction. Over the last decade, the field of medical imaging experienced an exponential growth, ...
International audienceMedical image processing and analysis (also known as Radiomics) is arapidly gr...
Radiomics is an emerging translational field of medicine based on the extraction of high-dimensional...
Radiomics is an emerging translational field of medicine based on the extraction of high-dimensional...
Background and Objective: Specific treatment for each patient based on their clinical data is one of...
BACKGROUND: Radiogenomics is the extension of radiomics through the combination of genetic and radio...
In the last few years, biomedical research has been boosted by the technological development of anal...
(1) Background: Radiogenomics is motivated by the concept that biomedical images contain information...
From diagnostics to prognosis to response prediction, new applications for radiomics are rapidly bei...
The growing complexity and volume of clinical data and the associated decision-making processes in o...
Abstract Since the discovery of X-rays at the end of the 19th century, medical imageology has progre...
Radiomics is an emerging field of medical diagnostics that combines data science and medical imaging...
Radiomics supposes an alternative non-invasive tumor characterization tool, which has experienced in...
Radiomics has been playing a pivotal role in oncological translational imaging, particularly in canc...
Introduction. Over the last decade, the field of medical imaging experienced an exponential growth, ...
International audienceMedical image processing and analysis (also known as Radiomics) is arapidly gr...
Radiomics is an emerging translational field of medicine based on the extraction of high-dimensional...
Radiomics is an emerging translational field of medicine based on the extraction of high-dimensional...
Background and Objective: Specific treatment for each patient based on their clinical data is one of...