This work presents the first study on automatic recognition of ocular surface disease by smartphone imaging and bilateral densely connected convolutional ...
This work presents the first study on automatic recognition of ocular surface disease by smartphone imaging and bilateral densely connected convolutional ...
Oct 3, 2024 · Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging. October 2024; Biomedical Signal Processing and Control ...
This work presents automatic classification of ocular surface disorders in accordance with densely connected convolutional networks and smartphone imaging. We ...
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Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging · Department of Computer Science and Technology, Xiamen University, Xiamen, ...
Oct 1, 2024 · Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging. Xiongbiao Luo. Xiang Lin. Weijie Ouyang. Song Zheng.
This work presents automatic classification of ocular surface disorders in accordance with densely connected convo- lutional networks and smartphone imaging. We ...
Missing: Bi- | Show results with:Bi-
[PDF] Defining Ocular Surface Disease Activity and Damage Indices ...
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Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging · Efficient capture of dry eye data from the real world: The Save Sight Dry ...
Bi-DenseNet: Automatic recognition of ocular surface disease using smartphone imaging. Biomed. Signal Process. Control. 96: 106622 (2024). [c4]. view.
In this review, we summarize the research progress of AI in the diagnosis of several ocular surface diseases, namely keratitis, keratoconus, dry eye, and ...
Missing: smartphone | Show results with:smartphone