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Microcalcifications are the earliest sign of breast carcinoma. Their typical size is about 1 mm, which is why it is difficult to detect for an expert. Therefore, a tool that eases their visualization becomes relevant. Segmentation gives the candidate areas that could contain microcalcifications. A preprocessing step can improve segmentation performance but the algorithm becomes database dependent...
This work compares Triangle, Maximum Entropy and Mean Peak thresholding methods to locate the optic disc in color fundus images. Localizing the optic disc is a significant task in an automated retinal image analysis process as is used on most vessel segmentation, disease diagnostic, and retinal recognition algorithms. The DIARETDBv1 dataset includes 89 retinal images are used to evaluate the 3 thresholding...
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