An intelligent location method of key boundary points for assisting the diameter measurement of central serous chorioretinopathy lesion area
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
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Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Automatic height measurement of central serous chorioretinopathy lesion using a deep learning and adaptive gradient threshold based cascading strategy;Computers in Biology and Medicine;2024-07
2. A multi-modal fundus image based auxiliary location method of lesion boundary for guiding the layout of laser spot in central serous chorioretinopathy therapy;Computers in Biology and Medicine;2023-03
3. An Automatic Image Processing Method Based on Artificial Intelligence for Locating the Key Boundary Points in the Central Serous Chorioretinopathy Lesion Area;Computational Intelligence and Neuroscience;2023-02-10
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