The present study aims to segment exudates with a new unsupervised approach based on the ant colony optimization algorithm.
The present study aims to segment exudates with a new unsupervised approach based on the ant colony optimization algorithm. The algorithm's performance was ...
The proposed system follow some steps to segment the exudates of diabetic retinopathy retina using Ant Colony optimization Algorithm, which preprocesses the ...
Automatic identification of diabetic retinopathy lesions, such as exudates, in fundus images can contribute to early diagnosis. Currently, many studies in the ...
Exudates segmentation is done using Ant Colony optimization Algorithm. The algorithm's performance was evaluated with a dataset available online. Classification ...
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This paper presents a computer aided diagnosis for exudates segmentation of diabetic retinopathy retina using Ant Colony optimization Algorithm, ...
Exudates are one of the earliest signs. This paper presents an automated method for exudates detection in digital retinal fundus image. The first step consists ...
The study conducted by M. Hire et al. [34] used fully ant colony optimization method to segment the EXs in RGB retina images. ...
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images using as ant colony optimization approach. This paper first preprocess the fundus image by using image preprocessing technique. Ant colony optimization ...
There are different methods available for segmentation of the exudates in the fundus retinal images. These methods are used for nonintrusive diagnosis for the ...