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Browse files- Dataset/glaucoma_label.npy +3 -0
- Dataset/rnflt_map.npy +3 -0
- Dataset/visual_field_md.npy +3 -0
- Model/eyelearn_weights.72-0.0019.h5 +3 -0
- ReadMe/data_description.txt +9 -0
Dataset/glaucoma_label.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:0b1d374d14a1a950a6d055b76fd753042f5247f4e667a2bb62c927dbd4aebfb1
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size 4128
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Dataset/rnflt_map.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:94b73c76460115443de9951ab8f00ac1a00278144b44846e4b85da27a57beab8
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size 202500128
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Dataset/visual_field_md.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:28217138e7da6851a5bbc94829da311d277e6150bc9e0775359f0d1237ab0480
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size 4128
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Model/eyelearn_weights.72-0.0019.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:f536dd788604bce0f4b2374025ef88f8176f30ef8a515d9da7f7dea27e389a10
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size 356626544
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ReadMe/data_description.txt
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Please refer to the following link for the description of the data and the code that accompanies the data.
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https://github.com/Harvard-Ophthalmology-AI-Lab/EyeLearn
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The paper in which the dataset was first used and released:
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Shi, M., Lokhande, A., Fazli, M.S., Sharma, V., Tian, Y., Luo, Y., Pasquale, L.R., Elze, T., Boland, M.V., Zebardast, N., Friedman, D.S., Shen L.Q. and Wang, M., 2023. Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma. IEEE Journal of Biomedical and Health Informatics, 27(9), pp.4329-4340.
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https://ieeexplore.ieee.org/abstract/document/10159482
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