Comparison of different binary classification models on radiomic features
Improved cancer prognosis is an important goal of precision health medicine. Radiomics is the extraction of a high number of features from medical images. Machine Learning (ML) has advanced significantly in the last few years and offers many different approaches on how to detect and model out associ...
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| 格式: | Final Year Project |
| 語言: | English |
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Nanyang Technological University
2021
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/150245 |
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| 機構: | Nanyang Technological University |
| 語言: | English |