Results 281 to 290 of about 73,359 (292)
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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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Prostate MRI radiomics: A systematic review and radiomic quality score assessment
European Journal of Radiology, 2020Radiomics have the potential to further increase the value of MRI in prostate cancer management. However, implementation in clinical practice is still far and concerns have been raised regarding the methodological quality of radiomic studies. Therefore, we aimed to systematically review the literature to assess the quality of prostate MRI radiomic ...
Stanzione A. +5 more
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CT radiomics and PET radiomics: ready for clinical implementation?
The Quarterly Journal of Nuclear Medicine and Molecular Imaging, 2019Today, rapid technical and clinical developments result in an increasing number of treatment options for oncological diseases. Thus, decision support systems are needed to offer the right treatment to the right patient. Imaging biomarkers hold great promise in patient-individual treatment guidance. Routinely performed for diagnosis and staging, imaging
Bogowicz, Marta +7 more
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Computer Vision—Radiomics & Pathognomics
Otolaryngologic Clinics of North AmericaThe role of computer vision in extracting radiographic (radiomics) and histopathologic (pathognomics) features is an extension of molecular biomarkers that have been foundational to our understanding across the spectrum of head and neck disorders. Especially within head and neck cancers, machine learning and deep learning applications have yielded ...
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Japanese Journal of Radiological Technology, 2018
Kenji, Hirata, Tohru, Shiga
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Kenji, Hirata, Tohru, Shiga
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