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Image Search Results


Classification-based studies in DR detection using fundus imaging.

Journal: Journal of Imaging

Article Title: Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey

doi: 10.3390/jimaging7090165

Figure Lengend Snippet: Classification-based studies in DR detection using fundus imaging.

Article Snippet: Lam, 2018 [ ] , EyePACS, eOphta , Ex, MA, HE, NV , NA , DCNN: AlexNet, VGG16, GoogLeNet, ResNet, and Inception-v3 , NA/NA , EyePACS: 0.99 ACC: 98.0%.

Techniques: Imaging, Modification, Extraction

Classification-based studies in DR detection using a special preprocessing on fundus images for DR grading in ICDR scale.

Journal: Journal of Imaging

Article Title: Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey

doi: 10.3390/jimaging7090165

Figure Lengend Snippet: Classification-based studies in DR detection using a special preprocessing on fundus images for DR grading in ICDR scale.

Article Snippet: Lam, 2018 [ ] , EyePACS, eOphta , Ex, MA, HE, NV , NA , DCNN: AlexNet, VGG16, GoogLeNet, ResNet, and Inception-v3 , NA/NA , EyePACS: 0.99 ACC: 98.0%.

Techniques:

Classification-based studies in DR detection using OCT and OCTA.

Journal: Journal of Imaging

Article Title: Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey

doi: 10.3390/jimaging7090165

Figure Lengend Snippet: Classification-based studies in DR detection using OCT and OCTA.

Article Snippet: Lam, 2018 [ ] , EyePACS, eOphta , Ex, MA, HE, NV , NA , DCNN: AlexNet, VGG16, GoogLeNet, ResNet, and Inception-v3 , NA/NA , EyePACS: 0.99 ACC: 98.0%.

Techniques: Extraction

Segmentation-based studies in DR detection using fundus images.

Journal: Journal of Imaging

Article Title: Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey

doi: 10.3390/jimaging7090165

Figure Lengend Snippet: Segmentation-based studies in DR detection using fundus images.

Article Snippet: Lam, 2018 [ ] , EyePACS, eOphta , Ex, MA, HE, NV , NA , DCNN: AlexNet, VGG16, GoogLeNet, ResNet, and Inception-v3 , NA/NA , EyePACS: 0.99 ACC: 98.0%.

Techniques: Extraction

Segmentation-based studies in DR detection using OCT, OCTA images.

Journal: Journal of Imaging

Article Title: Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey

doi: 10.3390/jimaging7090165

Figure Lengend Snippet: Segmentation-based studies in DR detection using OCT, OCTA images.

Article Snippet: Lam, 2018 [ ] , EyePACS, eOphta , Ex, MA, HE, NV , NA , DCNN: AlexNet, VGG16, GoogLeNet, ResNet, and Inception-v3 , NA/NA , EyePACS: 0.99 ACC: 98.0%.

Techniques: Control, Extraction

Concise introduction of CNN algorithms used in AI diagnosis.

Journal: Journal of Ophthalmology

Article Title: Applications of Artificial Intelligence in Ophthalmology: General Overview

doi: 10.1155/2018/5278196

Figure Lengend Snippet: Concise introduction of CNN algorithms used in AI diagnosis.

Article Snippet: Burlina et al. [ ] (Retina Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine) , AMD detection , Public: AREDS 130000 fundus images , DCNN (AlexNet) , AUC: 0.94∼0.96 Accuracy: 88.4%∼91.6% , Applying a DL-based automated assessment of AMD from fundus images can produce results that are similar to human performance levels.

Techniques: Biomarker Discovery

Studies on eye diseases using DL techniques.

Journal: Journal of Ophthalmology

Article Title: Applications of Artificial Intelligence in Ophthalmology: General Overview

doi: 10.1155/2018/5278196

Figure Lengend Snippet: Studies on eye diseases using DL techniques.

Article Snippet: Burlina et al. [ ] (Retina Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine) , AMD detection , Public: AREDS 130000 fundus images , DCNN (AlexNet) , AUC: 0.94∼0.96 Accuracy: 88.4%∼91.6% , Applying a DL-based automated assessment of AMD from fundus images can produce results that are similar to human performance levels.

Techniques: Injection, Medications, Biomarker Discovery