Lightweight pyramid network with spatial attention mechanism for accurate retinal vessel segmentation.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
Apr 1, 2021
Abstract
PURPOSE: The morphological characteristics of retinal vessels are vital for the early diagnosis of pathological diseases such as diabetes and hypertension. However, the low contrast and complex morphology pose a challenge to automatic retinal vessel segmentation. To extract precise semantic features, more convolution and pooling operations are adopted, but some structural information is potentially ignored.