Deep learning automated diagnosis and quantitative classification of cataract type and severity: quantifying the effectiveness and usability of deep learning-assisted disease diagnosis models with 14 ophthalmologists and multi-center validations.
Qingyu ChenTiarnan D. KeenanElvira AgrónAmr S. ElsawyEmily Y. ChewZhiyong LuPublished in: AMIA (2022)
Keyphrases
- deep learning
- disease diagnosis
- unsupervised learning
- restricted boltzmann machine
- machine learning
- deep architectures
- unsupervised feature learning
- deep belief networks
- pattern recognition
- mental models
- weakly supervised
- image classification
- probabilistic model
- model selection
- supervised learning
- early diagnosis
- natural language
- decision support
- text classification
- feature set
- semi supervised
- multi class
- learning algorithm