A Convex Geodesic Selective Model for Image Segmentation

Author:

Roberts MichaelORCID,Chen KeORCID,Irion Klaus L.

Funder

Engineering and Physical Sciences Research Council

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modelling and Simulation,Statistics and Probability

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A semi-automatic segmentation method for meningioma developed using a variational approach model;The Neuroradiology Journal;2023-12-26

2. Variational Fuzzy Energy Active Contour Models for Image Segmentation: A Review;2023 4th International Conference on Artificial Intelligence and Data Sciences (AiDAS);2023-09-06

3. Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

4. Discriminative 3D Shape Modeling for Few-Shot Instance Segmentation;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

5. A Survey of Topology and Geometry-Constrained Segmentation Methods in Weakly Supervised Settings;Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging;2023

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