Cytopathological Image Analysis of Pap Smear Images using Image Processing Techniques: A Survey

Shanthi, P B and Hareesha , K S (2014) Cytopathological Image Analysis of Pap Smear Images using Image Processing Techniques: A Survey. In: Proceedings of International conference on Computational Methods in Engineering and Health Sciences, December 17-19 2014, Manipal.

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This paper reviews computerized or automated cytopathological image analysis for cancer detection which is one of the most preventable diseases through early detection. Cytopathology refers to the study of cellular disease and spotting the cellular changes for the diagnosis of the disease. Papanicolau smear test (Pap Smear) is a well-known screening method for detecting abnormalities in the cervix cells that includes the changes in the cell when evolve into cancerous cell. The pathologist examines the pap smear images under a microscope to study the structure, distribution, color, size and shape of the cell to determine the benign and malignancy in an image. During mass screening programs, huge number of samples will be analyzed and diagnosed which is more time consuming and also accuracy of the diagnosis depends on training experience of cyto-technicians. To overcome this kind of problems, an automated cytological image analysis and classification system is essential for identification and quantification of these changes in the cell morphology which helps in discrimination of normal and abnormal cells. In this paper we intend to review and summarize the digital image processing intelligent model used for cytological image analysis which helps in early detection and diagnosis of malignant cancerous cells.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Cervical cancer, Papsmear, Image processing, Intelligent model
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Engineering > MIT Manipal > MCA
Depositing User: MIT Library
Date Deposited: 10 Feb 2015 06:53
Last Modified: 10 Feb 2015 06:53

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