Carcinoma cell identification via optical microscopy and shape feature analysis

Ahmad Chaddad, Camel Tanougast, Andrew Golato, Abbas Dandache

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

DOI: 10.4236/jbise.2013.611128                

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

Conflicts of Interest

The authors declare no conflicts of interest.

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