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22-1
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Glaucoma Dialogue
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Author #32808
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Xu Y
11
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Xu Y
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Xu Y
NPJ digital medicine
2021; 4: 48
92290
Silencing microRNA‑29b‑3p expression protects human trabecular meshwork cells against oxidative injury via upregulation of RNF138 to activate the ERK pathway
Liu H
International Journal of Molecular Medicine
2021; 47:
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Hu M
NPJ digital medicine
2021; 4: 48
92290
Silencing microRNA‑29b‑3p expression protects human trabecular meshwork cells against oxidative injury via upregulation of RNF138 to activate the ERK pathway
Xiu Y; Zhang Q
International Journal of Molecular Medicine
2021; 47:
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Liu H
NPJ digital medicine
2021; 4: 48
92290
Silencing microRNA‑29b‑3p expression protects human trabecular meshwork cells against oxidative injury via upregulation of RNF138 to activate the ERK pathway
Xu Y
International Journal of Molecular Medicine
2021; 47:
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Yang H; Wang H
NPJ digital medicine
2021; 4: 48
92290
Silencing microRNA‑29b‑3p expression protects human trabecular meshwork cells against oxidative injury via upregulation of RNF138 to activate the ERK pathway
Wan Q
International Journal of Molecular Medicine
2021; 47:
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Lu S
NPJ digital medicine
2021; 4: 48
92290
Silencing microRNA‑29b‑3p expression protects human trabecular meshwork cells against oxidative injury via upregulation of RNF138 to activate the ERK pathway
Tao L
International Journal of Molecular Medicine
2021; 47:
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Liang T; Liang T; Li X; Xu M; Li L; Li H; Ji X; Wang Z; Weinreb RN; Wang N
NPJ digital medicine
2021; 4: 48
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