A Foreground Prototype-Based One-Shot Segmentation of Brain Tumors

The potential for enhancing brain tumor segmentation with few-shot learning is enormous. While several deep learning networks (DNNs) show promising segmentation results, they all take a substantial amount of training data in order to yield appropriate results. Moreover, a prominent problem for most...

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Detalles Bibliográficos
Autores principales: Balasundaram, Ananthakrishnan, Kavitha, Muthu Subash, Pratheepan, Yogarajah, Akshat, Dhamale, Kaushik, Maddirala Venkata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093064/
https://www.ncbi.nlm.nih.gov/pubmed/37046500
http://dx.doi.org/10.3390/diagnostics13071282

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093064/
https://www.ncbi.nlm.nih.gov/pubmed/37046500
http://dx.doi.org/10.3390/diagnostics13071282

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