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kaggle aptos 2019 dataset  (Kaggle Inc)

 
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    Kaggle Inc kaggle aptos 2019 dataset
    Kaggle Aptos 2019 Dataset, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/kaggle+aptos+2019+dataset/2019+aptos+blindness+dataset+detection/med_rxiv__64898__2026__02__23__26346927-268-7-7
    Average 86 stars, based on 1 article reviews
    kaggle aptos 2019 dataset - by Bioz Stars, 2026-09
    86/100 stars

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    Article Title: Optical strategies for in vivo retinal ganglion cell imaging
    Article Snippet: Notably, RETFound achieved an AUROC of 0.943 on the Kaggle APTOS-2019 dataset, significantly higher than leading models, such as SSL-Retinal and SSL-ImageNet.

    Article Title: Diabetic Retinopathy Prediction Using Machine Learning
    Article Snippet: 97 AUC was attained using the Kaggle APTOS 2019 dataset. http://ipublishing.intimal.edu.my/joint.html This study documents the first trajectory of achievements in the field of diabetic retinopathy (DR) identification and grading using machine learning and deep learning techniques.

    Article Title: Deep multi-view feature fusion with data augmentation for improved diabetic retinopathy classification
    Article Snippet: The proposed approach outperformed the original Xception architecture on the Kaggle APTOS 2019 dataset [36].

    Article Title: Optical strategies for in vivo retinal ganglion cell imaging.
    Article Snippet: Notably, RETFound achieved an AUROC of 0.943 on the Kaggle APTOS-2019 dataset, significantly higher than leading models, such as SSL-Retinal and SSL-ImageNet.

    Article Title: DIABETIC RETINOPATHY DETECTION USING ARTIFICIAL INTELLIGENCE
    Article Snippet: The used dataset [5] is the Kaggle APTOS 2019 dataset, which was used in a blindness detection competition, contains 3662 images of eye retinas taken by fundus photography.

    Article Title: Deep multi-view feature fusion with data augmentation for improved diabetic retinopathy classification
    Article Snippet: The study was conducted on the publicly available Kaggle APTOS 2019 dataset, and the results highlighted the model’s efficacy in handling this complex classification task.

    Article Title: DIABETIC RETINOPATHY DETECTION USING ARTIFICIAL INTELLIGENCE
    Article Snippet: After applying necessary augmentation techniques to the data, the model was trained on the Kaggle APTOS 2019 dataset [5] which will be highlighted in the upcoming section.

    Biomarker Discovery:

    Article Title: Act or Defer: Error-Controlled Decision Policies for Medical Foundation Models
    Article Snippet: .. The diabetic retinopathy diagnosis task leverages the Kaggle APTOS-2019 dataset [ ], with labels defined according to the International Clinical Diabetic Retinopathy Severity Scale, spanning five stages from no retinopathy to proliferative diabetic retinopathy. ..



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