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WGC-2027

Govindharaj I 12

Showing records 1 to 12 | Display all abstracts from Govindharaj I

124993 Enhancing glaucoma diagnosis: Generative adversarial networks in synthesized imagery and classification with pretrained MobileNetV2
Govindharaj I
MethodsX 2025; 14: 103116
125113 Capsule network-based deep learning for early and accurate diabetic retinopathy detection
Govindharaj I
International Ophthalmology 2025; 45: 78
124993 Enhancing glaucoma diagnosis: Generative adversarial networks in synthesized imagery and classification with pretrained MobileNetV2
Santhakumar D
MethodsX 2025; 14: 103116
125113 Capsule network-based deep learning for early and accurate diabetic retinopathy detection
Rampriya R
International Ophthalmology 2025; 45: 78
124993 Enhancing glaucoma diagnosis: Generative adversarial networks in synthesized imagery and classification with pretrained MobileNetV2
Pugazharasi K
MethodsX 2025; 14: 103116
125113 Capsule network-based deep learning for early and accurate diabetic retinopathy detection
Michael G
International Ophthalmology 2025; 45: 78
124993 Enhancing glaucoma diagnosis: Generative adversarial networks in synthesized imagery and classification with pretrained MobileNetV2
Ravichandran S
MethodsX 2025; 14: 103116
125113 Capsule network-based deep learning for early and accurate diabetic retinopathy detection
Yazhinian S
International Ophthalmology 2025; 45: 78
124993 Enhancing glaucoma diagnosis: Generative adversarial networks in synthesized imagery and classification with pretrained MobileNetV2
Vijaya Prabhu R
MethodsX 2025; 14: 103116
125113 Capsule network-based deep learning for early and accurate diabetic retinopathy detection
Dinesh Kumar K
International Ophthalmology 2025; 45: 78
124993 Enhancing glaucoma diagnosis: Generative adversarial networks in synthesized imagery and classification with pretrained MobileNetV2
Raja J
MethodsX 2025; 14: 103116
125113 Capsule network-based deep learning for early and accurate diabetic retinopathy detection
Anandh R
International Ophthalmology 2025; 45: 78

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