7 Papers
10 Citations
Yanting Lu is an academic researcher from Nanjing University of Science and Technology. The author has contributed to research in topics: Segmentation & Active contour model. The author has an hindex of 3, co-authored 7 publications.
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Papers
Multiple kernel clustering based on centered kernel alignment
TL;DR: This paper proposes a novel MKC method that is different from those popular approaches, and an efficient two-step iterative algorithm is developed to solve the formulated optimization problem.
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Embryo zebrafish segmentation using an improved hybrid method.
TL;DR: A novel hybrid method that integrates region and boundary information into active contour model is proposed to segment zebrafish embryos from the background, which performs better than traditional segmentation models.
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Automated Cell Phase Classification for Zebrafish Fluorescence Microscope Images
Yanting Lu,Jianfeng Lu,Tianming Liu,Jingyu Yang +3 more
- 23 Aug 2010
TL;DR: This paper investigates an automated cell phase classification framework for zebra fish presomitic mesoderm images that employs support vector machine (SVM) as cell classifier and features set NF9, designed especially for this low resolution image set.
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Automated gene oscillation phase classification for zebrafish presomitic mesoderm cells
TL;DR: An effective automated gene oscillation phase classification framework is established for zebrafish PSM cell images and the feature sets NF9 and SPIN introduced in this article have proved to be superior to other cell features in this problem.
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Research on segmentation of dorsal diencephalon and ventral midbrain of zebrafish embryo based on active contour model
TL;DR: A novel segmentation technique for zebrafish embryo images is proposed based on active contour model, which includes region based active Contour model and geodesic active contours and the effectiveness of this approach is confirmed by the experimental results.
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