DualEye-FeatureNet: A Dual-Stream Feature Transfer Framework for Multi-Modal Ophthalmic Image Classification

• Published in: IEEE access Vol. 12; pp. 143985 - 144008
• Main Authors: Shafiq, Muhammad, Fan, Quanrun, Alghamedy, Fatemah H., Obidallah, Waeal J.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Artificial neural networks; Automation; Cataracts; Classification; Clustering; Convolutional neural networks; Deep learning; Diabetic retinopathy; Digital imaging; DualEye-FeatureNet; Electronic devices; Eye diseases; Feature extraction; Fuzzy C-Means; Glaucoma; Image classification; K-Means DarkNet53 and ResNet101; Machine learning; Medical imaging; multi-modal ophthalmic image classification; Myopia; Retina; Structural members; Training

Eye diseases are a significant health issue due to the drastic increase in the use of digital gadgets and mobile devices, making early detection and intervention essential for effective treatment. In recent times, the multimodal imagery fusion approach has garnered growing interest in automated dise...