نتایج جستجو برای: radiomics
تعداد نتایج: 1808 فیلتر نتایج به سال:
The application of advanced computational analysis to medical imaging opens a plethora opportunities in the field radiology, allowing for more accurate tissue characterization and, eventually, advancing towards precision medicine through biomarkers. In this review, we briefly introduce methodology radiomics and main challenges implementation radiomics-based tools clinical practice. Based on sys...
Tumors are characterized by somatic mutations that drive biological processes ultimately reflected in tumor phenotype. With regard to radiographic phenotypes, generally unconnected through present understanding to the presence of specific mutations, artificial intelligence methods can automatically quantify phenotypic characters by using predefined, engineered algorithms or automatic deep-learn...
Radiomics, the method by which digital images could be transformed into mineable data, opens new horizons for biomedical research and in particular oncology, diagnostic, predictive prognostic purposes. The use of artificial intelligence (AI) algorithms radiomics algorithm makes AI two inseparable, intricate domains. defined as machine capability imitating human intelligence, has already been im...
The aim of this study was to develop radiomics–based machine learning models based on extracted radiomic features and clinical information predict the risk death within 5 years for prognosis clear cell renal carcinoma (ccRCC) patients. According image quality data availability, we eventually selected 70 ccRCC patients that underwent CT scans. Manual volume-of-interest (VOI) segmentation each pe...
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