Cargando…
Semantic Segmentation of Medical Images Based on Runge–Kutta Methods
In recent years, deep learning has achieved good results in the semantic segmentation of medical images. A typical architecture for segmentation networks is an encoder–decoder structure. However, the design of the segmentation networks is fragmented and lacks a mathematical explanation. Consequently...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215087/ https://www.ncbi.nlm.nih.gov/pubmed/37237576 http://dx.doi.org/10.3390/bioengineering10050506 |