Loading [a11y]/accessibility-menu.js
Retinal Vessel Segmentation with VAE Reconstruction and Multi-Scale Context Extractor | IEEE Conference Publication | IEEE Xplore

Retinal Vessel Segmentation with VAE Reconstruction and Multi-Scale Context Extractor


Abstract:

The clinical diagnosis of eye disorders including diabetic retinopathy relies heavily on retinal vessel segmentation. CNN-based methods are the preferred approaches for r...Show More

Abstract:

The clinical diagnosis of eye disorders including diabetic retinopathy relies heavily on retinal vessel segmentation. CNN-based methods are the preferred approaches for retina vessel segmentation in recent years, but they are data hungry and prone to overfitting on the training set and achieving sub-optimal results on the validation set or the test set. Taking this into consideration, we propose to integrate a variational autoencoder reconstruction branch to pose extra regularization on the shared encoder and increase the generalization ability of networks. Furthermore, to deal with the unbalanced vessel scale distribution, a multi-scale context extractor is carefully designed, which employed the regular convolution and dilated convolution to extract multi-scale context and utilized different fusion method to obtain better complementary features. Extensive experiment results demonstrate that our proposed method achieves comparable state-of-the-art performance on the popular datasets: DRIVE and CHASEDB1.
Date of Conference: 28-31 March 2022
Date Added to IEEE Xplore: 26 April 2022
ISBN Information:

ISSN Information:

Conference Location: Kolkata, India

Funding Agency:


References

References is not available for this document.