Diabetic Retinopathy Diagnosis Based on RA-EfficientNet
The early detection and grade diagnosis of diabetic retinopathy (DR) are very important for the avoidance of blindness, and using deep learning methods to automatically diagnose DR has attracted great attention. However, the small amount of DR data limits its application. To automatically learn the...
Guardado en:
Autores principales: | San-Li Yi, Xue-Lian Yang, Tian-Wei Wang, Fu-Rong She, Xin Xiong, Jian-Feng He |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f830bb919e6248fead07491d8c76488f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Integrating EfficientNet into an HAFNet Structure for Building Mapping in High-Resolution Optical Earth Observation Data
por: Luca Ferrari, et al.
Publicado: (2021) -
Metabolism in Retinopathy of Prematurity
por: Yohei Tomita, et al.
Publicado: (2021) -
FastDerainNet: A Deep Learning Algorithm for Single Image Deraining
por: Xiuwen Wang, et al.
Publicado: (2020) -
Road crack segmentation using an attention residual U-Net with generative adversarial
por: Xing Hu, et al.
Publicado: (2021) -
Target State Classification by Attention-Based Branch Expansion Network
por: Yue Zhang, et al.
Publicado: (2021)