Computational Complexity Reduction of Neural Networks of Brain Tumor Image Segmentation by Introducing Fermi–Dirac Correction Functions

Nowadays, deep learning methods with high structural complexity and flexibility inevitably lean on the computational capability of the hardware. A platform with high-performance GPUs and large amounts of memory could support neural networks having large numbers of layers and kernels. However, naivel...

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Detalles Bibliográficos
Autores principales: Tai, Yen-Ling, Huang, Shin-Jhe, Chen, Chien-Chang, Lu, Henry Horng-Shing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918890/
https://www.ncbi.nlm.nih.gov/pubmed/33670368
http://dx.doi.org/10.3390/e23020223

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918890/
https://www.ncbi.nlm.nih.gov/pubmed/33670368
http://dx.doi.org/10.3390/e23020223

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