Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models.

ABSTRACT: Diabetic retinopathy, a retinal disorder resulting from diabetes mellitus, is a prominent cause of visual degradation and loss among the global population. Therefore, the identification and classification of diabetic retinopathy are of utmost importance in the clinical diagnosis and therapy. Currently, these duties are extensively carried out by manual examination utilizing the human visual system. Nevertheless, manual examination is sometimes arduous, time-consuming, and prone to errors. Deep learning-based methods have recently demonstrated encouraging results in several areas, such as image categorization and natural language mining. The majority of deep learning techniques developed for medical image analysis rely on convolutional modules to extract the inherent structure of images wit

SUBMITTER: Liu Z 

PROVIDER: S-EPMC11774367 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature