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Author #29816
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Wang Z
18
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Wang Z
92254
Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection
Zheng C
Translational vision science & technology
2021; 10: 34
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Xu Y; Hu M
NPJ digital medicine
2021; 4: 48
92254
Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection
Bian F; Li L
Translational vision science & technology
2021; 10: 34
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
92254
Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection
Xie X
Translational vision science & technology
2021; 10: 34
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
92254
Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection
Liu H
Translational vision science & technology
2021; 10: 34
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
92254
Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection
Liang J
Translational vision science & technology
2021; 10: 34
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Liang T
NPJ digital medicine
2021; 4: 48
92254
Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection
Chen X
Translational vision science & technology
2021; 10: 34
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Liang T; Li X
NPJ digital medicine
2021; 4: 48
92254
Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection
Wang Z
Translational vision science & technology
2021; 10: 34
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Xu M
NPJ digital medicine
2021; 4: 48
92254
Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection
Qiao T; Yang J
Translational vision science & technology
2021; 10: 34
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Li L; Li H
NPJ digital medicine
2021; 4: 48
92254
Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection
Zhang M
Translational vision science & technology
2021; 10: 34
92753
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Ji X; Wang Z; Weinreb RN; Wang N
NPJ digital medicine
2021; 4: 48
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