Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/170243Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Rodrigo de Vasconcelos e Miguel | |
| dc.date.accessioned | 2026-01-26T04:57:15Z | - |
| dc.date.available | 2026-01-26T04:57:15Z | - |
| dc.date.issued | 2025-10-16 | |
| dc.date.submitted | 2025-10-31 | |
| dc.identifier.other | sigarra:747192 | |
| dc.identifier.uri | https://hdl.handle.net/10216/170243 | - |
| dc.language.iso | eng | |
| dc.rights | embargoedAccess | |
| dc.subject | Engenharia electrotécnica, electrónica e informática | |
| dc.subject | Electrical engineering, Electronic engineering, Information engineering | |
| dc.title | Classification of Skin Lesions from Dermoscopic Images using Deep Learning Techniques | |
| dc.type | Dissertação | |
| dc.date.embargo | 2028-10-15 | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.identifier.tid | 204119154 | |
| 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 | No decorrer desta dissertação foram desenvolvidos dois artigos científicos que se encontram em fase de submissão para publicação. | |
| Appears in Collections: | FEUP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 747192.pdf Restricted Access | Classification of Skin Lesions from Dermoscopic Images using Deep Learning Techniques | 11.24 MB | Adobe PDF | View/Open |
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