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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vivekanand, A. Werghi, N. Al-Ahmad, H. |
| Copyright Year | 2013 |
| Abstract | Posterior capsule opacification (PCO) is a common complication in patients who have undergone cataract surgery, occurring in up to 50% of patients by two to three years after the operation. Assessment of PCO has been mainly subjective, making it difficult to understand its progression over time or assess the effectiveness of strategies used for the prevention of PCO. Fully automated PCO assessment systems developed so far offer objective grades. However, they do not provide morphological PCO data useful for an effective analysis of scores. This paper proposes a novel method based on multiscale roughness estimation to detect and quantify the PCO areas. This method is also characterized by its robustness against monotonic illumination variations. Extensive experimentation showcases a distinctive analysis and assessment power of our method compared to other competitive methods. The results show a high correlation of 84.6% with respect to clinical scores. |
| Starting Page | 1923 |
| Ending Page | 1931 |
| Page Count | 9 |
| File Size | 922877 |
| File Format | |
| ISSN | 21682194 |
| Volume Number | 18 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Image analysis Entropy Biomedical measurement Surgery Robustness segmentation Computer-aided detection entropy illumination variation multiscale roughness posterior capsule opacification (PCO) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Information Management Health Informatics Electrical and Electronic Engineering Computer Science Applications Biotechnology |
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