DeepAI AI Chat
Log In Sign Up

What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation

by   Weilin Fu, et al.

Retinal vessel segmentation is an essential step for fundus image analysis. With the recent advances of deep learning technologies, many convolutional neural networks have been applied in this field, including the successful U-Net. In this work, we firstly modify the U-Net with functional blocks aiming to pursue higher performance. The absence of the expected performance boost then lead us to dig into the opposite direction of shrinking the U-Net and exploring the extreme conditions such that its segmentation performance is maintained. Experiment series to simplify the network structure, reduce the network size and restrict the training conditions are designed. Results show that for retinal vessel segmentation on DRIVE database, U-Net does not degenerate until surprisingly acute conditions: one level, one filter in convolutional layers, and one training sample. This experimental discovery is both counter-intuitive and worthwhile. Not only are the extremes of the U-Net explored on a well-studied application, but also one intriguing warning is raised for the research methodology which seeks for marginal performance enhancement regardless of the resource cost.


Dense Residual Network for Retinal Vessel Segmentation

Retinal vessel segmentation plays an imaportant role in the field of ret...

Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network

Accurate segmentation of retinal vessels is a basic step in Diabetic ret...

Attention Guided Network for Retinal Image Segmentation

Learning structural information is critical for producing an ideal resul...

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

The segmentation of the retinal vasculature from eye fundus images repre...

RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation

Over recent years, increasingly complex approaches based on sophisticate...

Deep supervision with additional labels for retinal vessel segmentation task

Automatic analysis of retinal blood images is of vital importance in dia...

Mask-RCNN and U-net Ensembled for Nuclei Segmentation

Nuclei segmentation is both an important and in some ways ideal task for...