Browsing by Subject "radiomics"
Now showing items 1-5 of 5
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Breast Cancer Classification on Multiparametric MRI – Increased Performance of Boosting Ensemble Methods
(2022)Introduction: This study aims to assess the utility of Boosting ensemble classification methods for increasing the diagnostic performance of multiparametric Magnetic Resonance Imaging (mpMRI) radiomic models, in differentiating ... -
High-risk pituitary adenomas and strategies for predicting response to treatment
(2022)High-risk pituitary adenomas are aggressive. They show clinical and imaging features similar to those of carcinomas, including infiltration of the surrounding brain structures, but lack cerebrospinal or systemic metastases. ... -
Machine Learning in Meningioma MRI: Past to Present. A Narrative Review
(2022)Meningioma is one of the most frequent primary central nervous system tumors. While magnetic resonance imaging (MRI), is the standard radiologic technique for provisional diagnosis and surveillance of meningioma, it ... -
Radiomics and machine learning can differentiate transient osteoporosis from avascular necrosis of the hip
(2021)Differentiation between transient osteoporosis (TOH) and avascular necrosis (AVN) of the hip is a longstanding challenge in musculoskeletal radiology. The purpose of this study was to utilize MRI-based radiomics and machine ... -
Radiomics Represent a New Opportunity for Bariatric Surgery When Implemented in a Quality Improvement Context
(2022)[No abstract available]