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Introduction to Radiomics [PDF]

open access: yesJournal of Nuclear Medicine, 2020
Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative metrics—the so-called radiomic features—within medical images. Radiomic features capture tissue and lesion characteristics such as heterogeneity and shape and
M. Mayerhoefer   +6 more
semanticscholar   +4 more sources

A deep look into radiomics [PDF]

open access: yesLa radiologia medica, 2021
Radiomics 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.
Camilla Scapicchio   +5 more
semanticscholar   +3 more sources

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

open access: yesEuropean Radiology, 2023
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,
Tugba Akinci D'Antonoli   +3 more
semanticscholar   +5 more sources

Unsupervised Learning in PET Radiomics [PDF]

open access: green2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2017
In this study, we investigated large scale radoimics on 116 breast cancer patients. We are particularly interested in unsupervised learning to bicluster patients and features in order to associate such biclusters with the disease characteristics. The results show that radiomics features with wavelet features have a better biclustering ability.
G. Liu   +4 more
openalex   +6 more sources

Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography [PDF]

open access: green, 2016
We propose new methods for the prediction of 5-year mortality in elderly individuals using chest computed tomography (CT). The methods consist of a classifier that performs this prediction using a set of features extracted from the CT image and ...
Bradley, Andrew P.   +4 more
core   +3 more sources

Radiomics: the facts and the challenges of image analysis [PDF]

open access: goldEuropean Radiology Experimental, 2018
Radiomics is an emerging translational field of research aiming to extract mineable high-dimensional data from clinical images. The radiomic process can be divided into distinct steps with definable inputs and outputs, such as image acquisition and ...
S. Rizzo   +6 more
semanticscholar   +2 more sources

Radiomics in immuno-oncology [PDF]

open access: yesImmuno-Oncology and Technology, 2021
With the ongoing advances in imaging techniques, increasing volumes of anatomical and functional data are being generated as part of the routine clinical workflow. This surge of available imaging data coincides with increasing research in quantitative imaging, particularly in the domain of imaging features. An important and novel approach is radiomics,
I. Wamelink   +7 more
openaire   +4 more sources

Introduction to radiomics for a clinical audience.

open access: yesClinical Radiology, 2023
Radiomics is a rapidly developing field of research focused on the extraction of quantitative features from medical images, thus converting these digital images into minable, high-dimensional data, which offer unique biological information that can enhance our understanding of disease processes and provide clinical decision support.
C. McCague   +9 more
semanticscholar   +3 more sources

Radiomics for liver tumours [PDF]

open access: yesStrahlentherapie und Onkologie, 2020
AbstractCurrent research, especially in oncology, increasingly focuses on the integration of quantitative, multiparametric and functional imaging data. In this fast-growing field of research, radiomics may allow for a more sophisticated analysis of imaging data, far beyond the qualitative evaluation of visible tissue changes.
Constantin Dreher   +3 more
openaire   +3 more sources

Radiomics in Nasopharyngeal Carcinoma [PDF]

open access: yesClinical Medicine Insights: Oncology, 2022
Nasopharyngeal carcinoma (NPC) is one of the most common head and neck malignancies, and the primary treatment methods are radiotherapy and chemotherapy. Radiotherapy alone, concurrent chemoradiotherapy, and induction chemotherapy combined with concurrent chemoradiotherapy can be used according to different grades. Treatment options and prognoses vary
Wenyue Duan   +5 more
openaire   +3 more sources

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