An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field
(2021)
Journal Article
Li, R., & Chen, X. (2022). An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field. Computer Methods and Programs in Biomedicine, 213, Article 106534. https://doi.org/10.1016/j.cmpb.2021.106534
Objective: Image segmentation is a crucial and fundamental step in many medical image analysis tasks, such as tumor measurement, surgery planning, disease diagnosis, etc. To ensure the quality of image segmentation, most of the current solutions requ... Read More about An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field.