Extraction of Ruler Markings For Estimating Physical Size of Oral Lesions.

Xue Z, Yu K, Pearlman PC, Chen TC, Hua CH, Kang CJ, Chien CY, Tsai MH, Wang CP, Chaturvedi AK, Antani S

2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 2022 pp. 4241-4247. doi: 10.1109/ICPR56361.2022.9956251.

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Abstract:

Small ruler tapes are commonly placed on the surface of the human body as a simple and efficient reference for capturing on images the physical size of a lesion. In this paper, we describe our proposed approach for automatically extracting the measurement information from a ruler in oral cavity images which are taken during oral cancer screening and follow up. The images were taken during a study that aims to investigate the natural history of histologically defined oral cancer precursor lesions and identify epidemiologic factors and molecular markers associated with disease progression. Compared to similar work in the literature proposed for other applications where images are captured with greater consistency and in more controlled situations, we address additional challenges that our application faces in real world use and with analysis of retrospectively collected data. Our approach considers several conditions with respect to ruler style, ruler visibility completeness, and image quality. Further, we provide multiple ways of extracting ruler markings and measurement calculation based on specific conditions. We evaluated the proposed method on two datasets obtained from different sources and examined cross-dataset performance.

Xue Z, Yu K, Pearlman PC, Chen TC, Hua CH, Kang CJ, Chien CY, Tsai MH, Wang CP, Chaturvedi AK, Antani S. Extraction of Ruler Markings For Estimating Physical Size of Oral Lesions. 
2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 2022 pp. 4241-4247. doi: 10.1109/ICPR56361.2022.9956251.

URL: https://doi.ieeecomputersociety.org/10.1109/ICPR56361.2022.9956251