Journal
2020 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS)
Volume -, Issue -, Pages 280-284Publisher
IEEE
DOI: 10.1109/icaccs48705.2020.9074172
Keywords
Residual Network; U-net; Retinal vessels; medical image segmentation
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In order to overcome the difficulties in retinal blood vessel segmentation and aid ophthalmologists in diagnosis of diabetic retinopathy and glaucoma, there is a need for effective segmentation techniques. One such efficient technique is to use a model for segmentation using deep learning In this paper, an auto encoder deep learning network model based on residual path and U-net has been implemented to effectively segment the retinal blood vessels. Our network model has been implemented and tested on DRIVE dataset. This proposed model is reporting an increase in efficiency and Area under ROC compared to previous methods.
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