CSANet: a lightweight channel and spatial attention neural network for grading diabetic retinopathy with optical coherence tomography angiography
Sign Up to like & getrecommendations! Published in 2024 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-23-1270
Abstract: Background Diabetic retinopathy (DR) is one of the most common eye diseases. Convolutional neural networks (CNNs) have proven to be a powerful tool for learning DR features; however, accurate DR grading remains challenging due to… read more here.
Keywords: csanet; attention; diabetic retinopathy; spatial attention ... See more keywords