An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | 2011 8th IEEE International Symposium on Biomedical Imaging |
| Subtitle of host publication | From Nano to Macro - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. |
| Pages | 969-972 |
| ISBN (electronic) | 9781424441280 |
| ISBN (print) | 9781424441273 |
| Publication status | Published - Apr 2011 |
Publication series
| Name | Proceedings - International Symposium on Biomedical Imaging |
|---|---|
| Volume | 2011 |
| ISSN (Print) | 1945-7928 |
| ISSN (electronic) | 1945-8452 |
Conference
| Title | 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2011) |
|---|---|
| Location | Hyatt Regency McCormick Place |
| Place | United States |
| City | Chicago, IL |
| Period | 30 March - 2 April 2011 |
Link(s)
Abstract
Segmenting ultrasound images is a challenging problem where standard unsupervised segmentation methods such as the well-known Chan-Vese method fail. We propose in this paper an efficient segmentation method for this class of images. Our proposed algorithm is based on a semi-supervised approach (user labels) and the use of image patches as data features. We also consider the Pearson distance between patches, which has been shown to be robust w.r.t speckle noise present in ultrasound images. Our results on phantom and clinical data show a very high similarity agreement with the ground truth provided by a medical expert.
Research Area(s)
- active shape model, bipartite graph, image segmentation, retinopathy, Ultrasonography
Citation Format(s)
An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features. / Ciurte, A.; Houhou, N.; Nedevschi, S. et al.
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Institute of Electrical and Electronics Engineers, Inc., 2011. p. 969-972 5872564 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2011).
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Institute of Electrical and Electronics Engineers, Inc., 2011. p. 969-972 5872564 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2011).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
