Application of deep learning methods for the optimization of organs at risk (OARs) delineation in breast cancer radiotherapy treatment planning
During breast radiotherapy treatment planning, contouring the healthy organs surrounding breast has a significant role. Unfortunately, this process, of contouring the organs at risks (OARs), can be time consuming and in many cases difficult to shape them correctly. So, this thesis is inspired to...
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Γλώσσα: | Greek |
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2022
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Διαθέσιμο Online: | https://hdl.handle.net/10889/23945 |