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Preprocessing Techniques for Colon Histopathology Images

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Advances in Communication and Computational Technology (ICACCT 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 668))

Abstract

The glandular morphology analysis done within the colon histopathological images is an imperative step for grade determination of colon cancer. But the manual segmentation is quite laborious as well as time-consuming. It also suffers from the subjectivity among pathologists. Thus, the rising computational pathology has escorted to the development of various automated methods for the gland segmentation task. However, automated gland segmentation remains an exigent task due to numerous factors like the need for high-level resolution for precise delineation of glandular boundaries, etc. Thus, in order to alleviate the development of automated gland segmentation techniques, various image enhancement techniques are applied on colon cancer images for preprocessing them in order to get an enhanced image in which all the critical elements are easily detectable. The enhancement results are analyzed based on both objective qualitative assessment as well as subjective assessment given in the form of scores by the pathologists. And thus based on the qualitative analysis, a new combined technique, i.e., colormap-enhanced image sharpening, is proposed in order to get an enhanced image in which all the critical elements are easily detectable. These techniques’ results will thus help pathologists in better colon histopathology image analysis.

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Acknowledgements

The authors are grateful to Dr. Hema Malini Aiyer, Head of Pathology, and Dr. Garima Rawat, Pathologist at Dharamshila Narayana Superspeciality Hospital, New Delhi, for their support to our research, and without their help, we will not be able to check the feasibility of the applied algorithm in the real-life scenario.

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Authors and Affiliations

  1. EECE Department, The NorthCap University, Gurugram, India

    Manju Dabass & Jyoti Dabass

Authors
  1. Manju Dabass
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  2. Jyoti Dabass
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Corresponding author

Correspondence to Manju Dabass .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Maryland Eastern Shore, Princess Anne, MD, USA

    Gurdeep Singh Hura

  2. Department of Master of Computer Applications, National Institute of Technology Kurukshetra, Kurukshetra, Haryana, India

    Ashutosh Kumar Singh

  3. Department of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka, Malaysia

    Lau Siong Hoe

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Dabass, M., Dabass, J. (2021). Preprocessing Techniques for Colon Histopathology Images. In: Hura, G.S., Singh, A.K., Siong Hoe, L. (eds) Advances in Communication and Computational Technology. ICACCT 2019. Lecture Notes in Electrical Engineering, vol 668. Springer, Singapore. https://doi.org/10.1007/978-981-15-5341-7_85

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  • DOI: https://doi.org/10.1007/978-981-15-5341-7_85

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5340-0

  • Online ISBN: 978-981-15-5341-7

  • eBook Packages: EngineeringEngineering (R0)

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