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Discover LudwigThe phrase "advanced segmentation algorithms" is correct and usable in written English.
You can use it in contexts related to data analysis, machine learning, or image processing where specific techniques for dividing data into segments are discussed.
Example: "The research paper focuses on the implementation of advanced segmentation algorithms to improve image recognition accuracy."
Alternatives: "sophisticated segmentation techniques" or "refined segmentation methods."
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The advanced segmentation software, RheumaSCORE, was used for semi-automatic MRI image segmentation of the meniscus tissues.
For researchers like Belongie, however, it's an ideal data set for advancing object detection and segmentation algorithms.
Despite recent advances in automated cone segmentation algorithms for confocal AOSLO imagery, quantitative analysis of split detector AOSLO images is currently a time-consuming manual process.
Focal RPE atrophy was defined as isolated atrophic regions in the RPE, not quantifiable as advanced GA by the segmentation algorithm.
Segmentation algorithms were used to segment all cell nuclei.
With the recent advances in several new multimedia applications, there is the need to develop segmentation algorithms running on efficient hardware platforms [16 18].
These segmentation algorithms were parameterized to represent object characteristics such as shape, compactness, and spectral similarity.
The primary goal of the research on image segmentation is to produce better segmentation algorithms.
Quality assessment requires one manually generated segmentation (for reference) plus computer-generated segmentations corresponding to different image segmentation algorithms or algorithm parameter settings.
Thus, the segmentation algorithms were evaluated through objective comparison of their segmentation results with manual segmentations.
Table 1 compares the result of three related segmentation algorithms: Graph-based segmentation, k-means segmentation and the proposed method.
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