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After image segmentation, image contrasts of the segmented image with β and γ are shown in Figure 10a,b,c, respectively, where β ∈ [-5, 5], γ ∈ [0, 1] [1]].
Over the last few decades, as the amount of annotated medical data is increasing speedily, deep learning-based approaches have been attracting more attention and enjoyed a great success in the medical imaging field, including computer-aided diagnosis, image segmentation, image registration, image database retrieval, and so on.
Three examples are provided: drusen segmentation, image registration, and geographic atrophy segmentation, with applications to disease understanding.
Secondly, the iris recognition algorithm is introduced, including iris segmentation, image normalization, feature extraction, and code matching.
Finally, a sequence of image processing (including morphological operations to remove small components and to fill the holes) was performed to obtain the final segmentation image.
His primary research areas include pattern analysis of geometric and statistical models in very high-dimensional data spaces and applications in motion segmentation, image segmentation, face recognition, and signal processing in heterogeneous sensor networks.
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The corresponding segmentation images and generated µmap prove the validity of algorithm.
Through multiple-threshold segmentation, images were redrawn with three colors (black, gray and white).
After that, two segmentation images can be obtained by thresholds T1 and T2.
The entropy is used as the criterion to judge the effect of segmentation images in different threshold (Fig. 7).
Binary gold standard vessel segmentation images are available for each image.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com