Litcius/Paper detail

A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification

Serena Sunkari, Ashish Sangam, Venkata Sreeram P., M. Suchetha, Rajiv Raman, Ramachandran Rajalakshmi, S Tamilselvi

2023Biomedical Signal Processing and Control57 citationsDOI

Topics & Concepts

Diabetic retinopathyComputer scienceClassifier (UML)Artificial intelligenceResidual neural networkRetinopathyFundus (uterus)Deep learningFeature extractionPattern recognition (psychology)Machine learningMedicineOphthalmologyDiabetes mellitusEndocrinologyRetinal Imaging and AnalysisRetinal Diseases and TreatmentsArtificial Intelligence in Healthcare
A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification | Litcius