SD-UNet: Stripping down U-Net for Segmentation of Biomedical Images on Platforms with Low Computational Budgets

During image segmentation tasks in computer vision, achieving high accuracy performance while requiring fewer computations and faster inference is a big challenge. This is especially important in medical imaging tasks but one metric is usually compromised for the other. To address this problem, this...

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Detalles Bibliográficos
Autores principales: Gadosey, Pius Kwao, Li, Yujian, Agyekum, Enock Adjei, Zhang, Ting, Liu, Zhaoying, Yamak, Peter T., Essaf, Firdaous
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7167802/
https://www.ncbi.nlm.nih.gov/pubmed/32085469
http://dx.doi.org/10.3390/diagnostics10020110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7167802/
https://www.ncbi.nlm.nih.gov/pubmed/32085469
http://dx.doi.org/10.3390/diagnostics10020110

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