Multimodal Data Fusion for Deep Learning Applications in Intracoronary Image Segmentation
This thesis describes steps towards the construction of a multi-anatomical, multimodal segmentation and co-registration platform for intracoronary images. Although manual annotation and co-registration of intracoronary images from different modalities remain the gold standard today for facilitating...
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| Formaat: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online toegang: | https://hdl.handle.net/1721.1/151472 |