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A deep look into radiomics [PDF]
Radiologia 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
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Deep radiomics: deep learning on radiomics texture images
Medical Imaging 2021: Computer-Aided Diagnosis, 2021Lung 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
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Radiomics of hepatocellular carcinoma
Abdominal Radiology, 2020The 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
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Radiomics in Hepatocellular Carcinoma
Journal of Gastrointestinal Cancer, 2020Radiomics 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 ...
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Radiomics in Musculoskeletal Tumors
Seminars in Musculoskeletal RadiologyAbstractSarcomas 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
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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
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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
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A review in radiomics: Making personalized medicine a reality via routine imaging
Medicinal Research Reviews, 2022Julien Guiot +2 more
exaly