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Learning With Fewer Images via Image Clustering: Application to Intravascular OCT Image Segmentation
Deep learning based methods are routinely used to segment various structures of interest in varied medical imaging modalities. Acquiring annotations for a large number of images requires a skilled analyst, and the process is both time consuming and challenging. Our approach to reduce effort is to re...
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| Publicado no: | IEEE Access |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8023588/ https://ncbi.nlm.nih.gov/pubmed/33828934 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/access.2021.3058890 |
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