Single-Input Multi-Output U-Net for Automated 2D Foetal Brain Segmentation of MR Images

In this work, we develop the Single-Input Multi-Output U-Net (SIMOU-Net), a hybrid network for foetal brain segmentation inspired by the original U-Net fused with the holistically nested edge detection (HED) network. The SIMOU-Net is similar to the original U-Net but it has a deeper architecture and...

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Detalles Bibliográficos
Autores principales: Rampun, Andrik, Jarvis, Deborah, Griffiths, Paul D., Zwiggelaar, Reyer, Scotney, Bryan W., Armitage, Paul A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536962/
https://www.ncbi.nlm.nih.gov/pubmed/34677286
http://dx.doi.org/10.3390/jimaging7100200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536962/
https://www.ncbi.nlm.nih.gov/pubmed/34677286
http://dx.doi.org/10.3390/jimaging7100200

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