Abstract
In order to improve the detection accuracy and detection speed of optic disc in fundus images, an end-to-end localization method based on Yolov3 framework was proposed in this paper. The pre-processed fundus images were input into Yolov3 framework to locate optic discs accurately. This proposed method achieved 100% accuracy on MESSIDOR, DIARETDB0, DIARETDB1 and DRIVE datasets. 97.5% and 98% success rates were obtained on STARE and KAGGLE datasets respectively. The average localization time was 0.003s. The test results demonstrate that this proposed method can locate optic disc in both normal fundus images and the fundus images with pathological retinas robustly and rapidly.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
