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transfer learning model inception-v3  (EyePACS LLC)

 
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    EyePACS LLC transfer learning model inception-v3
    Transfer Learning Model Inception V3, 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/inception-v3+model/inception+v3/10__62762_slash_tetai__2024__305743-61-19-19
    Average 90 stars, based on 1 article reviews
    transfer learning model inception-v3 - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Software:

    Article Title: Features extraction using encoded local binary pattern for detection and grading diabetic retinopathy
    Article Snippet: Sengupta et al. [ ] , EyePACS , Inception-v3 Model , Acc: 90. 4%, Sensitivity: 90%.



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    Image Search Results


    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

    Performances of existing DR detection methods

    Journal: Health Information Science and Systems

    Article Title: Features extraction using encoded local binary pattern for detection and grading diabetic retinopathy

    doi: 10.1007/s13755-022-00181-z

    Figure Lengend Snippet: Performances of existing DR detection methods

    Article Snippet: Sengupta et al. [ ] , EyePACS , Inception-v3 Model , Acc: 90. 4%, Sensitivity: 90%.

    Techniques: Software