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- W3164752485 abstract "This paper discusses the detection of microaneurysms(MAs) from colour fundus images using image processing. In this paper, we present a web application to detect MAs from fundus image more efficiently and on real-time purpose. This paper includes a unique method to detect and mask the optic disc (OD) and blob detection to detect MAs. To examine the accuracy of the system, we processed 63 colour fundus images and got an accuracy for 95% accuracy for optic disc elimination and 56% accuracy for microaneurysms detection." @default.
- W3164752485 created "2021-06-07" @default.
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- W3164752485 date "2019-01-01" @default.
- W3164752485 modified "2023-09-26" @default.
- W3164752485 title "Automatic Detection of Microaneurysms in Diabetic Retinopathy Using Python" @default.
- W3164752485 doi "https://doi.org/10.2139/ssrn.3367665" @default.
- W3164752485 hasPublicationYear "2019" @default.
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