Automated Retinal Disease Classification from OCT Images Using a Lightweight CNN–SE Architecture
Automated classification of retinal diseases from Optical Coherence Tomography (OCT) images can support timely and consistent identification of retinal abnormalities; however, many existing approaches rely on computationally intensive architectures or complex preprocessing procedures. This study proposes a lightweight...