Cargando…
Deep learning from “passive feeding” to “selective eating” of real-world data
Artificial intelligence (AI) based on deep learning has shown excellent diagnostic performance in detecting various diseases with good-quality clinical images. Recently, AI diagnostic systems developed from ultra-widefield fundus (UWF) images have become popular standard-of-care tools in screening f...
Autores principales: | Li, Zhongwen, Guo, Chong, Nie, Danyao, Lin, Duoru, Zhu, Yi, Chen, Chuan, Zhao, Lanqin, Wu, Xiaohang, Dongye, Meimei, Xu, Fabao, Jin, Chenjin, Zhang, Ping, Han, Yu, Yan, Pisong, Lin, Haotian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603327/ https://www.ncbi.nlm.nih.gov/pubmed/33145439 http://dx.doi.org/10.1038/s41746-020-00350-y |
Ejemplares similares
-
Development and Evaluation of a Deep Learning System for Screening Retinal Hemorrhage Based on Ultra-Widefield Fundus Images
por: Li, Zhongwen, et al.
Publicado: (2020) -
Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images
por: Li, Zhongwen, et al.
Publicado: (2020) -
Application of Surgical Decision Model for Patients With Childhood Cataract: A Study Based on Real World Data
por: Chen, Jingjing, et al.
Publicado: (2021) -
The Metabolic Reprogramming of Frem2 Mutant Mice Embryos in Cryptophthalmos Development
por: Zhang, Xiayin, et al.
Publicado: (2021) -
Protocol to analyze fundus images for multidimensional quality grading and real-time guidance using deep learning techniques
por: Liu, Lixue, et al.
Publicado: (2023)