Lightweight LDA-UNet for accurate and interpretable visualization of retinopathy of prematurity
Abstract Retinopathy of prematurity (ROP) is one of the main causes of blindness in children.Timely prevention and treatment can abc always be coding effectively control its progression.Although convolutional neural networks (CNNs) have been widely studied in the field of ROP detection, limitations such as parameter redundancy, spatial information