Medical Image Segmentation Using Self-Supervised Learning and Vision Transformers:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
München
2022
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 Online-Ressource |
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| spelling | Weinberger, Peter Karl aut Medical Image Segmentation Using Self-Supervised Learning and Vision Transformers Peter Karl Weinberger München 2022 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Masterarbeit Technische Universität München 2022 (DE-588)4113937-9 Hochschulschrift gnd-content Technische Universität München (DE-588)36241-4 dgg https://mediatum.ub.tum.de/node?id=1693783 Verlag kostenfrei Volltext |
| spellingShingle | Weinberger, Peter Karl Medical Image Segmentation Using Self-Supervised Learning and Vision Transformers |
| subject_GND | (DE-588)4113937-9 |
| title | Medical Image Segmentation Using Self-Supervised Learning and Vision Transformers |
| title_auth | Medical Image Segmentation Using Self-Supervised Learning and Vision Transformers |
| title_exact_search | Medical Image Segmentation Using Self-Supervised Learning and Vision Transformers |
| title_exact_search_txtP | Medical Image Segmentation Using Self-Supervised Learning and Vision Transformers |
| title_full | Medical Image Segmentation Using Self-Supervised Learning and Vision Transformers Peter Karl Weinberger |
| title_fullStr | Medical Image Segmentation Using Self-Supervised Learning and Vision Transformers Peter Karl Weinberger |
| title_full_unstemmed | Medical Image Segmentation Using Self-Supervised Learning and Vision Transformers Peter Karl Weinberger |
| title_short | Medical Image Segmentation Using Self-Supervised Learning and Vision Transformers |
| title_sort | medical image segmentation using self supervised learning and vision transformers |
| topic_facet | Hochschulschrift |
| url | https://mediatum.ub.tum.de/node?id=1693783 |
| work_keys_str_mv | AT weinbergerpeterkarl medicalimagesegmentationusingselfsupervisedlearningandvisiontransformers AT technischeuniversitatmunchen medicalimagesegmentationusingselfsupervisedlearningandvisiontransformers |