Lightweight, transparent, and uncertainty-aware deep learning for diabetic retinopathy grading
| dc.affiliation.institute | Institut für Medizinische Elektrotechnik | |
| dc.contributor.author | Siebert, Marlin Sebastian | |
| dc.contributor.referee | Rostalski, Philipp | |
| dc.contributor.referee | Grzegorzek, Marcin | |
| dc.date.accepted | 2025 | |
| dc.date.accessioned | 2025-04-03T09:48:54Z | |
| dc.date.available | 2025-04-03T09:48:54Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | https://epub.uni-luebeck.de/handle/zhb_hl/3411 | |
| dc.identifier.urn | urn:nbn:de:gbv:841-202504031 | |
| dc.language.iso | en | |
| dc.subject | Deep Learning | |
| dc.subject | Transparenz | |
| dc.subject | Konzept basiertes Lernen | |
| dc.subject | Unsicherheit | |
| dc.subject | Bildsegmentierung | |
| dc.subject | Diabetische Retinopathie | |
| dc.subject.ddc | 004 | |
| dc.title | Lightweight, transparent, and uncertainty-aware deep learning for diabetic retinopathy grading | |
| dc.type | thesis.doctoral |
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