Extraction and Separation of Overlapped Squamous Cell Cytoplasm with Disjoint Nuclei in Cervical Pap Smear Image

Authors

  • T. P. Deepa School of Computer Science and Engineering, VIT Deemed-to-be-University, Vellore-632014, Tamilnadu, India
  • A. Nagaraja Rao School of Computer Science and Engineering, VIT Deemed-to-be-University, Vellore-632014, Tamilnadu, India https://orcid.org/0000-0001-7469-3397

DOI:

https://doi.org/10.13052/jmm1550-4646.1833

Keywords:

Pap smear, Disjoint, Cervical cell, Squamous, Overlapped, Hough transformation

Abstract

The automated analysis of Papanicolaou (Pap) smear images is a challenging issue due to the occlusion of cells. The feature extraction and interpretation depend on the accuracy of cell segmentation. This is important to find the difference between normal and abnormal cells. However, most of the time complications are due to overlapping in the Pap smear cells. The overlapping can be in nuclei regions or cytoplasmic regions or sometimes both the regions. There are two types of cells found in Pap smear images – Columnar and Squamous cells. Most of the time abnormalities are found in squamous cells which in turn may lead to cervical cancer. Hence, this work concentrates on the separation of squamous cells in which cytoplasmic regions are overlapped with disjoint nuclei regions. The main objective of this work is to identify the intersecting points where cytoplasmic regions of two cells meet, called Concavity points, which are calculated using a scope of points along the cytoplasmic boundary of the cells, and separating the cells along with these concavity points.

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Author Biographies

T. P. Deepa, School of Computer Science and Engineering, VIT Deemed-to-be-University, Vellore-632014, Tamilnadu, India

T. P. Deepa received the Bachelor of Engineering, Computer science and engineering in 2003 and Master of Technology, Computer science in 2006 from Visvesvaraya Technological University, Karnataka, and is currently pursuing a doctorate degree in image processing from VIT Deemed-to-be university. Her research areas include image processing, machine learning, and deep learning.

A. Nagaraja Rao, School of Computer Science and Engineering, VIT Deemed-to-be-University, Vellore-632014, Tamilnadu, India

A. Nagaraja Rao has Completed M.Sc in Computer Science from SV University, M.Tech. in Computer Science and Engineering from JNTU Hyderabad and Ph.D. in Computer Science from University of Mysore. He has more than 18 years of teaching and research experience. He is a life member of CSI, ISTE professional bodies. At present he is working with VIT, Vellore as an Associate Professor in School of Computer Science and Engineering (SCOPE). He has published more than 50 papers in international journals and Conferences. His areas of interest include Image Processing, Medical Image processing, Data Analytics and Pattern Recognition.

References

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Published

2022-01-22

How to Cite

Deepa, T. P. ., & Rao, A. N. . (2022). Extraction and Separation of Overlapped Squamous Cell Cytoplasm with Disjoint Nuclei in Cervical Pap Smear Image. Journal of Mobile Multimedia, 18(03), 521–540. https://doi.org/10.13052/jmm1550-4646.1833

Issue

Section

Enabling AI Technologies Towards Multimedia Data Analytics for Smart Healthcare