Bhattacharjee, M. ; Ashok, P. C. ; Divakar Rao, K. ; Majumder, S. K. ; Verma, Y. ; Gupta, P. K. (2011) Binary tissue classification studies on resected human breast tissues using optical coherence tomography images Journal of Innovative Optical Health Sciences (JIOHS), 4 (1). pp. 59-66. ISSN 1793-5458
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Official URL: http://www.worldscinet.com/jiohs/04/0401/S17935458...
Related URL: http://dx.doi.org/10.1142/S1793545811001083
Abstract
We report the results of a comparative study of Fourier domain analysis (FDA) and texture analysis (TA) of optical coherence tomography (OCT) images of resected human breast tissues for binary classification between normal-abnormal classes and benign-malignant classes. With the incorporation of Fisher linear discriminant analysis (FLDA) in TA for feature extraction, the TA-based algorithm provided improved diagnostic performance as compared to the FDA-based algorithm in discriminating OCT images corresponding to breast tissues with three different pathologies. The specificity and sensitivity values obtained for normal-abnormal classification were both 100%, whereas they were 90% and 85%, respectively for benign-malignant classification.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to World Scientific Publishing. |
| Keywords: | Optical Coherence Tomography; Breast Tissue; Texture Analysis; Fourier Domain Analysis; Classification |
| ID Code: | 83470 |
| Deposited On: | 21 Feb 2012 12:57 |
| Last Modified: | 21 Feb 2012 12:57 |
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