Abstract
Existing similarity metrics to compare the accuracy of n-Dimensional image segmentation with the corresponding ground truth is restricted to a limited set of volume fractions which, by themselves, lack robustness. This paper introduces a comprehensive list of linear and non-linear similarity measures widely used in such diverse fields as ecology, toxicology and patent trending. These metrics based on the binary "absence/presence" data were computed for assessing the delineation of tissue engineering scaffold images into porous and polymeric space using a wide variety of thresholding techniques.
| Original language | English (US) |
|---|---|
| Article number | 189 |
| Pages (from-to) | 1636-1647 |
| Number of pages | 12 |
| Journal | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
| Volume | 5747 |
| Issue number | III |
| DOIs | |
| State | Published - 2005 |
| Event | Medical Imaging 2005 - Image Processing - San Diego, CA, United States Duration: Feb 13 2005 → Feb 17 2005 |
Keywords
- Delineation
- Porous scaffolds
- Segmentation
- Similarity index
- Tissue engineering
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Radiology Nuclear Medicine and imaging
- Biomaterials
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