Cargando…
Trends and hotspots in research on medical images with deep learning: a bibliometric analysis from 2013 to 2023
BACKGROUND: With the rapid development of the internet, the improvement of computer capabilities, and the continuous advancement of algorithms, deep learning has developed rapidly in recent years and has been widely applied in many fields. Previous studies have shown that deep learning has an excell...
Autores principales: | Chen, Borui, Jin, Jing, Liu, Haichao, Yang, Zhengyu, Zhu, Haoming, Wang, Yu, Lin, Jianping, Wang, Shizhong, Chen, Shaoqing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665961/ https://www.ncbi.nlm.nih.gov/pubmed/38028662 http://dx.doi.org/10.3389/frai.2023.1289669 |
Ejemplares similares
-
Research on remote sensing image extraction based on deep learning
por: Shun, Zhao, et al.
Publicado: (2022) -
Hierarchical semantic interaction-based deep hashing network for cross-modal retrieval
por: Chen, Shubai, et al.
Publicado: (2021) -
Gamma and vega hedging using deep distributional reinforcement learning
por: Cao, Jay, et al.
Publicado: (2023) -
A lightweight intrusion detection method for IoT based on deep learning and dynamic quantization
por: Wang, Zhendong, et al.
Publicado: (2023) -
Bone age assessment based on deep neural networks with annotation-free cascaded critical bone region extraction
por: Li, Zhangyong, et al.
Publicado: (2023)