Cargando…
Lightweight and efficient dual-path fusion network for iris segmentation
In order to tackle limitations of current iris segmentation methods based on deep learning, such as an enormous amount of parameters, intensive computation and excessive storage space, a lightweight and efficient iris segmentation network is proposed in this article. Based on the classical semantic...
Autores principales: | Lei, Songze, Shan, Aokui, Liu, Bo, Zhao, Yanxiao, Xiang, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462620/ https://www.ncbi.nlm.nih.gov/pubmed/37640750 http://dx.doi.org/10.1038/s41598-023-39743-w |
Ejemplares similares
-
A lightweight network based on dual-stream feature fusion and dual-domain attention for white blood cells segmentation
por: Luo, Yang, et al.
Publicado: (2023) -
Attention-based dual-path feature fusion network for automatic skin lesion segmentation
por: He, Zhenxiang, et al.
Publicado: (2023) -
MMViT-Seg: A lightweight transformer and CNN fusion network for COVID-19 segmentation
por: Yang, Yuan, et al.
Publicado: (2023) -
MFAFNet: A Lightweight and Efficient Network with Multi-Level Feature Adaptive Fusion for Real-Time Semantic Segmentation
por: Lu, Kai, et al.
Publicado: (2023) -
MSF-Net: A Lightweight Multi-Scale Feature Fusion Network for Skin Lesion Segmentation
por: Shao, Dangguo, et al.
Publicado: (2023)