An abnormality detection of retinal fundus images by deep convolutional neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09217-6
Abstract: Identification of retinal diseases is a test for the ophthalmologists as the anomalies are just unmistakable at the beginning period. Early detection of these diseases can avoid lasting vision misfortune. Dealing with a lot of… read more here.
Keywords: fundus images; retinal fundus; deep convolutional; convolutional neural ... See more keywords
A deep learning segmentation strategy that minimizes the amount of manually annotated images
Sign Up to like & getrecommendations! Published in 2022 at "F1000Research"
DOI: 10.12688/f1000research.52026.2
Abstract: Deep learning has revolutionized the automatic processing of images. While deep convolutional neural networks have demonstrated astonishing segmentation results for many biological objects acquired with microscopy, this technology's good performance relies on large training datasets.… read more here.
Keywords: amount; learning segmentation; segmentation; strategy ... See more keywords