Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/161535Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Diogo de Almeida Campas | |
| dc.date.accessioned | 2025-11-12T19:35:03Z | - |
| dc.date.available | 2025-11-12T19:35:03Z | - |
| dc.date.issued | 2024-07-22 | |
| dc.date.submitted | 2024-07-31 | |
| dc.identifier.other | sigarra:686381 | |
| dc.identifier.uri | https://hdl.handle.net/10216/161535 | - |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Engenharia electrotécnica, electrónica e informática | |
| dc.subject | Electrical engineering, Electronic engineering, Information engineering | |
| dc.title | Deep Learning Generative Models for Breast MRI Synthesis: A 3D-GAN Comparative Study | |
| dc.type | Dissertação | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.identifier.doi | 10.34626/5125-9a66 | |
| dc.identifier.tid | 203856988 | |
| dc.subject.fos | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática | |
| dc.subject.fos | Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| thesis.degree.discipline | Mestrado em Engenharia Eletrotécnica e de Computadores | |
| thesis.degree.grantor | Faculdade de Engenharia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| rcaap.embargofct | Utilizar resultados para publicação cientifica. | |
| Appears in Collections: | FEUP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 686381.pdf | Deep Learning Generative Models for Breast MRI Synthesis: A 3D-GAN Comparative Study | 3.2 MB | Adobe PDF | ![]() View/Open |
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