Compressing medical deep neural network models for edge devices using knowledge distillation
Recently, deep neural networks (DNNs) have been used successfully in many fields, particularly, in medical diagnosis. However, deep learning (DL) models are expensive in terms of memory and computing resources, which hinders their implementation in limited-resources devices or for delay-sensitive sy...
| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Elsevier
2023-07-01
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| coleção: | Journal of King Saud University: Computer and Information Sciences |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1319157823001702 |