Results 251 to 260 of about 43,566 (284)

Interpretation of radiomics features–A pictorial review [PDF]

open access: yesComputer Methods and Programs in Biomedicine, 2022
Radiomics is a newcomer field that has opened new windows for precision medicine. It is related to extraction of a large number of quantitative features from medical images, which may be difficult to detect visually.
Edward Ciaccio   +2 more
exaly   +2 more sources

Radiomics: the process and the challenges [PDF]

open access: yesMagnetic Resonance Imaging, 2012
"Radiomics" refers to the extraction and analysis of large amounts of advanced quantitative imaging features with high throughput from medical images obtained with computed tomography, positron emission tomography or magnetic resonance imaging. Importantly, these data are designed to be extracted from standard-of-care images, leading to a very large ...
Dmitry Goldgof   +2 more
exaly   +3 more sources

A deep look into radiomics [PDF]

open access: yesRadiologia Medica, 2021
AbstractRadiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into radiomics, from the basis, deeply discussed from a technical point of view, through the main ...
Camilla Scapicchio   +2 more
exaly   +4 more sources

Deep radiomics: deep learning on radiomics texture images

Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Lung cancer has high mortality and occurrence worldwide. Radiomics is a method for extracting quantitative features from medical images that can be used for predictive analysis. Radiomics has been applied quite successfully for lung nodule malignancy prediction.
Rahul Paul   +6 more
openaire   +1 more source

Radiomics of hepatocellular carcinoma

Abdominal Radiology, 2020
The diagnosis of hepatocellular carcinoma relies largely on non-invasive imaging, and is well suited for radiomics analysis. Radiomics is an emerging method for quantification of tumor heterogeneity by mathematically analyzing the spatial distribution and relationships of gray levels in medical images. The published studies on radiomics analysis of HCC
Sara Lewis   +2 more
openaire   +2 more sources

Radiomics in Hepatocellular Carcinoma

Journal of Gastrointestinal Cancer, 2020
Radiomics is an emerging field that extracts high-throughput imaging data from different types of images to build models and predict clinical outcomes ina non-invasive manner. This field currently is in the initial growth phase and lacks standardized evaluation criteria but remains a very promising tool for the future todevelop suitable biomarkers for ...
openaire   +2 more sources

Radiomics in Musculoskeletal Tumors

Seminars in Musculoskeletal Radiology
AbstractSarcomas are heterogeneous rare tumors predominantly affecting the musculoskeletal (MSK) system. Due to significant variations in their natural history and variable response to conventional treatments, the discovery of novel diagnostic and prognostic biomarkers to guide therapeutic decision-making is an active and ongoing field of research.
Daniel Brandenberger, Lawrence M. White
openaire   +2 more sources

Radiomics to the Rescue

Annals of Surgical Oncology, 2022
openaire   +2 more sources

Radiomics in Oncology

2019
T umour histology classification is based on biopsy, that is invasive, destructive (reducing the number of monitoring opportunities) and suffers from poor cost efficiency. Biopsy sampling of a random spatial subregion of a tumour at a single time point may not be able to reflect the complex tumour state accurately [1-4].
Sala, Evis, Papanikolaou, Nickolas
openaire   +1 more source

Radiomics

2021
Jakob Weiss   +2 more
openaire   +1 more source

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