Multi criteria dose prediction using deep learning
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.advisor | Akram, Saad Ullah | |
| dc.contributor.author | Verbeek, Rob | |
| dc.contributor.school | Perustieteiden korkeakoulu | fi |
| dc.contributor.supervisor | Kannala, Juho | |
| dc.date.accessioned | 2021-08-29T17:18:24Z | |
| dc.date.available | 2021-08-29T17:18:24Z | |
| dc.date.issued | 2021-08-23 | |
| dc.format.extent | 56+6 | |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/109395 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202108298631 | |
| dc.language.iso | en | en |
| dc.programme | Master's Programme in Computer, Communication and Information Sciences | fi |
| dc.programme.major | Machine Learning, Data Science and Artificial Intelligence | fi |
| dc.programme.mcode | SCI3044 | fi |
| dc.subject.keyword | deep learning | en |
| dc.subject.keyword | radiation therapy | en |
| dc.subject.keyword | oncology | en |
| dc.subject.keyword | imrt | en |
| dc.subject.keyword | computer vision | en |
| dc.title | Multi criteria dose prediction using deep learning | en |
| dc.type | G2 Pro gradu, diplomityö | fi |
| dc.type.ontasot | Master's thesis | en |
| dc.type.ontasot | Diplomityö | fi |
| local.aalto.electroniconly | yes | |
| local.aalto.openaccess | no |