Name
Title | ||
|---|---|---|
A Supervoxel-Based Solution To Resume Segmentation For Interactive Correction By Differential Image-Foresting Transforms |
Abstract | ||
|---|---|---|
The foolproof segmentation of 3D anatomical structures in medical images is usually a challenging task, which makes automatic results often far from desirable and interactive repairs necessary. In the past, we introduced a first solution to resume segmentation from third-party software into an initial optimum-path forest for interactive correction by differential image foresting transforms (DIFTs). Here, we present a new method that estimates the initial forest (input segmentation) rooted at more regularly separated seed voxels to facilitate interactive editing. The forest is a supervoxel segmentation from seeds that result from a sequence of image foresting transforms to conform as much as possible the supervoxel boundaries to the boundaries of the object in the input segmentation. We demonstrate the advantages of the new method over the previous one by using a robot user, as an impartial way to correct brain segmentation in MR-T1 images. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-57240-6_9 | MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL AND IMAGE PROCESSING (ISMM 2017) |
Keywords | Field | DocType |
Interactive editing, Segmentation, Supervoxel, Image-foresting transform | Voxel,Brain segmentation,Computer vision,Computer science,Segmentation,Interactive editing,Real-time computing,Software,Artificial intelligence,Anatomical structures,Robot | Conference |
Volume | ISSN | Citations |
10225 | 0302-9743 | 3 |
PageRank | References | Authors |
0.43 | 24 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anderson Carlos Moreira Tavares | 1 | 3 | 0.77 |
| Paulo A. V. Vechiatto Miranda | 2 | 313 | 26.26 |
| Thiago Vallin Spina | 3 | 45 | 7.32 |
| Alexandre X. Falcão | 4 | 1877 | 132.30 |