Neural Networks in Electrical Impedance Tomography
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Huuhtanen, Timo | |
dc.contributor.author | Purhonen, Mikko | |
dc.contributor.school | Sähkötekniikan korkeakoulu | fi |
dc.contributor.supervisor | Turunen, Markus | |
dc.date.accessioned | 2019-12-31T10:10:39Z | |
dc.date.available | 2019-12-31T10:10:39Z | |
dc.date.issued | 2019-12-04 | |
dc.format.extent | 36 | |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/41863 | |
dc.identifier.urn | URN:NBN:fi:aalto-201912316808 | |
dc.language.iso | en | en |
dc.programme | Sähkötekniikan kandidaattiohjelma | fi |
dc.programme.major | Bioinformaatioteknologia | fi |
dc.programme.mcode | ELEC3016 | fi |
dc.subject.keyword | deep learning | en |
dc.subject.keyword | neural networks | en |
dc.subject.keyword | electrical impedance tomography | en |
dc.subject.keyword | inverse problem | en |
dc.title | Neural Networks in Electrical Impedance Tomography | en |
dc.type | G1 Kandidaatintyö | fi |
dc.type.dcmitype | text | en |
dc.type.ontasot | Bachelor's thesis | en |
dc.type.ontasot | Kandidaatintyö | fi |