Carcinoma cell identification via optical microscopy and shape feature analysis - Journal of Biomedical Science and Engineering

JBiSE > Vol.6 No.11, November 2013

Journal of Biomedical Science and Engineering

Volume 6, Issue 11 (November 2013)

ISSN Print: 1937-6871 ISSN Online: 1937-688X

Google-based Impact Factor: 0.66 Citations h5-index & Ranking

Carcinoma cell identification via optical microscopy and shape feature analysis ()

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Download as PDF (Size: 209KB) PP. 1029-1033

DOI: 10.4236/jbise.2013.611128 3,500 Downloads 5,304 Views Citations

Author(s)

Ahmad Chaddad, Camel Tanougast, Andrew Golato, Abbas Dandache

Affiliation(s)

Laboratory of Design, Optimization and Modeling (LCOMS), University of Lorraine, Metz, France.

ABSTRACT

Optical microscopy is commonly used for cancer cell detection. Focusing on carcinoma cell identification via optical microscopy, a proof-of-concept study was performed at Laboratory of Design, Optimization and Modeling (LCOMS) to determine the grade of cancer cells. This paper focuses on three types of abnormal cells; namely, Benign Hyperplasia (BH), Intraepithelial Neoplasia (IN), which is a precursor state for cancer, and Carcinoma (Ca), which corresponds to abnormal tissue proliferation cancer. These types of cells were used to assess the efficiency of using shape features to identify carcinoma cells. A comparative study based on performance indicator concludes that three features, Area, Xor-Convex, and Solidity, were found to be effective in identifying the Carcinoma grade of cancer cells.

KEYWORDS

Cancer; Carcinoma; Detection; Shape Features

Share and Cite:

Chaddad, A. , Tanougast, C. , Golato, A. and Dandache, A. (2013) Carcinoma cell identification via optical microscopy and shape feature analysis. Journal of Biomedical Science and Engineering, 6, 1029-1033. doi: 10.4236/jbise.2013.611128.

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