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Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images

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IEEE2020-07-09 更新2026-04-17 收录
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https://ieee-dataport.org/open-access/robust-and-interpretable-convolutional-neural-networks-detect-glaucoma-optical-coherence
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资源简介:
Model .h5 files and .pb files for robustly detecting glaucoma from optical coherence tomography (OCT) images and for interpretability analysis via testing with concept activation vectors (TCAVs by Been Kim et al.). Further details described in paper Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in OCT Images in preparation/under review.
提供机构:
Koorathota, Sharath; Thakoor, Kaveri; Sajda, Paul; Hood, Donald
创建时间:
2020-07-09
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