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Overlapping Oral Epithelial Cells Segmentation: Voronoi-Based Hybrid Active Contour Model

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Advanced Machine Learning Approaches in Cancer Prognosis

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 204))

Abstract

Oral cancer is a major healthcare problem and accounts for approximately 40% of cancer risk. It is evident that the detection of oral cancer at an early stage can markedly improve the survival rate. Though several invasive ‘gold standard’ methods continue to be practiced clinically, non-invasive detection modalities look promising for early oral cancer risk assessment. Exfoliative cytology is one such method in which the desquamated cells are collected from the oral epithelium and examined under microscope. However, the main challenge in automated quantification arises here on the formation of cellular clump during the smear preparation. In this chapter, the role of computational advances in segmentation of overlapping cells is illustrated. A computational model, based on Voronoi-based hybrid active contour method, is proposed for segmenting the overlapping oral epithelial cells.

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Author information

Authors and Affiliations

  1. Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India

    Shreya Adhikary, Santi Prasad Maity & Ananya Barui

  2. Department of Oral and Dental Sciences, Kolkata and Guru Nanak Institute of Dental Sciences and Research, JIS University, Kolkata, India

    Ranjan Rashmi Paul

  3. University of Alberta, Edmonton, Canada

    Mrinal Mandal

Authors
  1. Shreya Adhikary
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  2. Ranjan Rashmi Paul
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  3. Mrinal Mandal
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  4. Santi Prasad Maity
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  5. Ananya Barui
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Editors and Affiliations

  1. Department of Computer Science and Engineering, Aditya Institute of Technology and Management, Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  2. Department of Informatics and Computer Techniques, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  3. Elizabeth Grove Surgery, Elizabeth Grove, SA, Australia

    Seema Jain

  4. Department of Computer Application, Veer Surendra Sai University of Technology, Odisha, India

    Bighnaraj Naik

  5. Department of Electrical and Electronics Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

    Manohar Mishra

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Adhikary, S., Paul, R.R., Mandal, M., Maity, S.P., Barui, A. (2021). Overlapping Oral Epithelial Cells Segmentation: Voronoi-Based Hybrid Active Contour Model. In: Nayak, J., Favorskaya, M.N., Jain, S., Naik, B., Mishra, M. (eds) Advanced Machine Learning Approaches in Cancer Prognosis. Intelligent Systems Reference Library, vol 204. Springer, Cham. https://doi.org/10.1007/978-3-030-71975-3_9

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