Oral epithelial cell segmentation from fluorescent multichannel cytology images using deep learning.

Journal: Computer methods and programs in biomedicine
PMID: 36384061

Abstract

BACKGROUND AND OBJECTIVES: Cytology is a proven, minimally-invasive cancer screening and surveillance strategy. Given the high incidence of oral cancer globally, there is a need to develop a point-of-care, automated, cytology-based screening tool. Oral cytology image analysis has multiple challenges such as, presence of debris, blood cells, artefacts, and clustered cells, which necessitate a skilled expertise for single-cell detection of atypical cells for diagnosis. The main objective of this study is to develop a semantic segmentation model for Single Epithelial Cell (SEC) separation from fluorescent, multichannel, microscopic oral cytology images and classify the segmented images.

Authors

  • Sumsum P Sunny
    Integrated Head and Neck Oncology Program, Mazumdar Shaw Medical Foundation, Narayana Health City, Bommsandra Industrial Area, Bangalore, 99, India.
  • Asif Iqbal Khan
    Department of Computer Science, Jamia Millia Islamia, New Delhi, India. Electronic address: khanasifiqbal7@gmail.com.
  • Madhavan Rangarajan
    Department of Electronic Systems Engineering, Division of EECS, Indian Institute of Science, Bangalore, India.
  • Aditi Hariharan
    Integrated Head and Neck Oncology Program (DSRG-5), Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India.
  • Praveen Birur N
    Department of oral medicine and radiology, KLE Society's Institute of Dental Sciences, Bangalore, India.
  • Hardik J Pandya
    3Department of Mechanical Engineering,Maryland Robotics Center,Institute for Systems Research,University of Maryland,Glenn L. Martin Hall,College Park,MD 20742,USA.
  • Nameeta Shah
    Mazumdar Shaw Medical Foundation, NH Health City, Bangalore, India.
  • Moni A Kuriakose
    Integrated Head and Neck Oncology Program, Mazumdar Shaw Medical Foundation, Narayana Health City, Bommsandra Industrial Area, Bangalore, 99, India. makuriakose@gmail.com.
  • Amritha Suresh
    Integrated Head and Neck Oncology Program, Mazumdar Shaw Centre for Translational Research, Bangalore, 560 099, India.

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