A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis

Research article (npj Digital Medicine, 2021) · cited 47× · AI/ML
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A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis

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A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis is a scholarly article[1].

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  • A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hierarchical-deep-learning-approach-with-transparency-and-interpretability-based-on-small-samples-for-glaucoma-diagnos
MLA “A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hierarchical-deep-learning-approach-with-transparency-and-interpretability-based-on-small-samples-for-glaucoma-diagnos.
BibTeX @misc{4ortxyz_a-hierarchical-deep-learning-approach-with-transparency-and-interpretability-based-on-small-samples-for-glaucoma-diagnos_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/a-hierarchical-deep-learning-approach-with-transparency-and-interpretability-based-on-small-samples-for-glaucoma-diagnos}, note = {Accessed: 2026-05-24}}
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