Results 81 to 90 of about 82,903 (262)
Insights into Imaging, 2023 Objective To develop and validate a multiphase CT-based radiomics model for preoperative risk stratification of patients with localized clear cell renal cell carcinoma (ccRCC).
Huayun Liu +8 more
doaj +1 more source
The Bionic Radiologist: avoiding blurry pictures and providing greater insights [PDF]
, 2019 Radiology images and reports have long been digitalized. However, the potential of the more than 3.6 billion radiology examinations performed annually worldwide has largely gone unused in the effort to digitally transform health care.
Dewey, Marc, Wilkens, Uta
core +1 more source
Insights into ImagingPurpose To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies. Methods We conducted an online modified Delphi study with a group of international experts.
Burak Koçak +59 more
semanticscholar +1 more source
Radiomics in Oncology: A Practical Guide
Radiographics, 2021 Radiomics refers to the extraction of mineable data from medical imaging and has been applied within oncology to improve diagnosis, prognostication, and clinical decision support, with the goal of delivering precision medicine.
J. Shur +9 more
semanticscholar +1 more source
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 +8 more
doaj +1 more source
RadiologyFilters are commonly used to enhance specific structures and patterns in images, such as vessels or peritumoral regions, to enable clinical insights beyond the visible image using radiomics.
P. Whybra +45 more
semanticscholar +1 more source
Machine and deep learning methods for radiomics.
Medical Physics (Lancaster), 2020 Radiomics is an emerging area in quantitative image analysis that aims to relate large-scale extracted imaging information to clinical and biological endpoints.
M. Avanzo +7 more
semanticscholar +1 more source
Radiomics in prostate cancer: an up-to-date review
Therapeutic Advances in Urology, 2022 Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male population. The diagnosis, the identification of aggressive disease, and the post-treatment follow-up needs a more comprehensive and holistic approach.
M. Ferro +20 more
semanticscholar +1 more source
Quo vadis Radiomics? Bibliometric analysis of 10-year Radiomics journey
European Radiology, 2023 Abstract Objectives Radiomics is the high-throughput extraction of mineable and—possibly—reproducible quantitative imaging features from medical imaging. The aim of this work is to perform an unbiased bibliometric analysis on Radiomics 10 years after the first work became available, to highlight its status, pitfalls, and
Volpe S. +3 more
openaire +2 more sources
Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
Cancer Imaging, 2023 Purpose Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer. MBD is screened with bone scintigraphy (BS), which have high sensitivity but low specificity for the diagnosis of MBD, often ...
Abdalla Ibrahim +18 more
doaj +1 more source