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EyePACS LLC resnet-50
Resnet 50, 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/resnet-50/resnet50/pmc12082602-111-6-11
Average 90 stars, based on 1 article reviews
resnet-50 - by Bioz Stars, 2026-09
90/100 stars

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Related Articles

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Article Title: ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection
Article Snippet: The proposed scheme for feature extraction and classification outperforms existing deep architectures (ResNet-50, VGG-19, Inception-v3, MobileNet, Xception, and VGG16) in terms of execution time and classification accuracy on EyePACS and Messidor-2 datasets for detection and grading of diabetic retinopathy.

Article Title: The role of artificial intelligence in the diagnosis of diabetic retinopathy through retinal lesion features: a narrative review
Article Snippet: 2023 , Kiliçarslan ( ) , ResNet-50, YOLOv5, and VGG-19 , EyePACS , Accuracy: 93.38%, 94.75%, 91.72%.

Article Title: A study on effective data preprocessing and augmentation method in diabetic retinopathy classification using pre-trained deep learning approaches
Article Snippet: High glucose levels in the blood not only damage different tissues and organs of the body, but also cause adverse effects on the eye.. This condition is called diabetic retinopathy (DR).. DR can cause blurred vision, darkening of the field of vision, and severe vision loss.



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Overview of existing techniques for brain tumor detection.

Journal: Scientific Reports

Article Title: Automatic smart brain tumor classification and prediction system using deep learning

doi: 10.1038/s41598-025-95803-3

Figure Lengend Snippet: Overview of existing techniques for brain tumor detection.

Article Snippet: , 2021 , Public (Kaggle) , 253 MRI images , Tumor and No Tumor , 2 , CNN VGG-16 ResNet-50 Inception-V3 , 100% 96% 89% 75%.

Techniques: Extraction, Biomarker Discovery, Modification