Name
Title | ||
|---|---|---|
Morphological and multi-level geometrical descriptor analysis in CT and MRI volumes for automatic pancreas segmentation. |
Abstract | ||
|---|---|---|
•This paper proposes a 2D/3D approach for pancreas segmentation in multimodality radiological scans (image volumes).•A novel post-processing stage, comprising of three levels, improves final tissue classification through analysis of distinct contours, and every increasing level progressively targets surrounding tissue that is located in closer proximity to the pancreas.•The proposed approach produces detailed boundary preservation and greater consistency in spatial smoothness, and tissue classification among successive slices in the image volume.•Segmentation accuracy results show robust statistical stability across multiple modalities (i.e., CT and MRI) and across datasets that were obtained using different scanner imaging protocols.•The proposed approach can be applied to other abdominal MRI and CT sequences and also, generalisable to other organ or muscular tissue segmentation tasks. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compmedimag.2019.04.004 | Computerized Medical Imaging and Graphics |
Keywords | Field | DocType |
Automatic pancreas segmentation,Computer-aided diagnosis,Continuous max-flow and min-cuts,Contrast enhancement,Geometrical characteristics,Structured forest | Computer vision,Segmentation,Edge detection,Tomography,Artificial intelligence,Therapy planning,Standard deviation,Medicine,Pancreas,Magnetic resonance imaging | Journal |
Volume | ISSN | Citations |
75 | 0895-6111 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hykoush Asaturyan | 1 | 0 | 1.35 |
| Antonio Gligorievski | 2 | 0 | 0.34 |
| Barbara Villarini | 3 | 17 | 4.13 |