<p class="jove_content">This study presents a describes a deep learning-based workflow for early detection of diabetic retinopathy using preprocessed fundus images and optimized convolutional neural network architectures, enabling accurate disease classification and explainable lesion localization for scalable clinical application.</p>

robust-deep-learning-framework-for-early-diabetic-retinopathy

Robust Deep Learning Framework for Early Diabetic Retinopathy Detection Using Preprocessed Fundus Images and Optimized CNNs

Diabetic retinopathy (DR) is a leading cause of vision loss globally, particularly among patients with poorly controlled diabetes. Early detection through ...

Institution - Yueqing People's Hospital

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