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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Detalles Bibliográficos
Autores principales: KOLLURU, CHAITANYA, LEE, JUHWAN, GHARAIBEH, YAZAN, BEZERRA, HIRAM G., WILSON, DAVID L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023588/
https://www.ncbi.nlm.nih.gov/pubmed/33828934
http://dx.doi.org/10.1109/access.2021.3058890

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023588/
https://www.ncbi.nlm.nih.gov/pubmed/33828934
http://dx.doi.org/10.1109/access.2021.3058890

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