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EyePACS LLC cnn model with inception-v3 based software
A comparison of reported deep learning techniques for screening and recognition.
Cnn Model With Inception V3 Based Software, supplied by EyePACS LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cnn+model+with+inception-v3+based+software/inception+v3/pmc09505428-1-10-17
Average 90 stars, based on 1 article reviews
cnn model with inception-v3 based software - by Bioz Stars, 2026-10
90/100 stars

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1) Product Images from "Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions"

Article Title: Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions

Journal: Sensors (Basel, Switzerland)

doi: 10.3390/s22186780

A comparison of reported deep learning techniques for screening and recognition.
Figure Legend Snippet: A comparison of reported deep learning techniques for screening and recognition.

Techniques Used: Comparison, Software

Summary of reported techniques for lesion detection.
Figure Legend Snippet: Summary of reported techniques for lesion detection.

Techniques Used: Software, Plasmid Preparation, Biomarker Discovery, Modification, Tomography, Blocking Assay

Related Articles

Software:

Article Title: Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions
Article Snippet: Silvia Rego et al. [ ] , CNN model with Inception-V3 based software , Not Mentioned , EyePACS , 350 , Color fundus images , Sensitivity = 80.8% Specificity = 95.6% PPV = 77.6% NPV = 96.3%.

Comparison:

Article Title: Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions
Article Snippet: Silvia Rego et al. [ ] , CNN model with Inception-V3 based software , Not Mentioned , EyePACS , 350 , Color fundus images , Sensitivity = 80.8% Specificity = 95.6% PPV = 77.6% NPV = 96.3%.

Plasmid Preparation:

Article Title: Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions
Article Snippet: Silvia Rego et al. [ ] , CNN model with Inception-V3 based software , Not Mentioned , EyePACS , 350 , Color fundus images , Sensitivity = 80.8% Specificity = 95.6% PPV = 77.6% NPV = 96.3%.

Biomarker Discovery:

Article Title: Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions
Article Snippet: Silvia Rego et al. [ ] , CNN model with Inception-V3 based software , Not Mentioned , EyePACS , 350 , Color fundus images , Sensitivity = 80.8% Specificity = 95.6% PPV = 77.6% NPV = 96.3%.

Modification:

Article Title: Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions
Article Snippet: Silvia Rego et al. [ ] , CNN model with Inception-V3 based software , Not Mentioned , EyePACS , 350 , Color fundus images , Sensitivity = 80.8% Specificity = 95.6% PPV = 77.6% NPV = 96.3%.

Tomography:

Article Title: Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions
Article Snippet: Silvia Rego et al. [ ] , CNN model with Inception-V3 based software , Not Mentioned , EyePACS , 350 , Color fundus images , Sensitivity = 80.8% Specificity = 95.6% PPV = 77.6% NPV = 96.3%.

Blocking Assay:

Article Title: Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions
Article Snippet: Silvia Rego et al. [ ] , CNN model with Inception-V3 based software , Not Mentioned , EyePACS , 350 , Color fundus images , Sensitivity = 80.8% Specificity = 95.6% PPV = 77.6% NPV = 96.3%.



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EyePACS LLC cnn model with inception-v3 based software
A comparison of reported deep learning techniques for screening and recognition.
Cnn Model With Inception V3 Based Software, supplied by EyePACS LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cnn+model+with+inception-v3+based+software/inception+v3/pmc09505428-1-10-17
Average 90 stars, based on 1 article reviews
cnn model with inception-v3 based software - by Bioz Stars, 2026-10
90/100 stars
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A comparison of reported deep learning techniques for screening and recognition.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions

doi: 10.3390/s22186780

Figure Lengend Snippet: A comparison of reported deep learning techniques for screening and recognition.

Article Snippet: Silvia Rego et al. [ ] , CNN model with Inception-V3 based software , Not Mentioned , EyePACS , 350 , Color fundus images , Sensitivity = 80.8% Specificity = 95.6% PPV = 77.6% NPV = 96.3%.

Techniques: Comparison, Software

Summary of reported techniques for lesion detection.

Journal: Sensors (Basel, Switzerland)

Article Title: Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions

doi: 10.3390/s22186780

Figure Lengend Snippet: Summary of reported techniques for lesion detection.

Article Snippet: Silvia Rego et al. [ ] , CNN model with Inception-V3 based software , Not Mentioned , EyePACS , 350 , Color fundus images , Sensitivity = 80.8% Specificity = 95.6% PPV = 77.6% NPV = 96.3%.

Techniques: Software, Plasmid Preparation, Biomarker Discovery, Modification, Tomography, Blocking Assay