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The goal of this project was to evaluate the feasibility of machine learning methods based on feature extraction and classification for differentiating benign and maligna [...]
2019 |
Dissertation |
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3.
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Attenuation correction (AC) in PET/MR imaging significantly alters the displayed PET signal. Modern AC methods forgo the process of directly calculating attenuation throu [...]
2022 |
Abstract |
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Patient stratification is essential for addressing breast cancer's inter- and intra-heterogeneity. While the PAM50 classifier is widely regarded to be the gold standard f [...]
2024-11-27 |
Thesis |
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Medical images provide a non-invasive means of assessing structural and functional changes within the human body. They are a rich source of information on the internal bo [...]
2022 |
Thesis |
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As a part of the Serial Measurements of Molecular and Architectural Responses to Therapy (SMMART) precision medicine cancer trial, serial biopsies from cancer patients ar [...]
2021 |
Abstract |
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