Development of a deep learning-based image quality control system to detect and filter out ineligible slit-lamp images: A multicenter study.
Zhongwen LiJiewei JiangKuan ChenQinxiang ZhengXiaotian LiuHongfei WengShanjun WuWei ChenPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- image quality
- deep learning
- control system
- image data
- image features
- image database
- image classification
- input image
- slit lamp
- machine learning
- multiple images
- text mining
- denoising
- unsupervised learning
- segmentation algorithm
- test images
- human visual system
- image annotation
- image retrieval
- object recognition
- computer vision