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Breast Cancer Detection Using Texture Features and KNN Algorithm

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Hybrid Intelligent Systems (HIS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1375))

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Abstract

Breast Cancer is the most common form of cancer in women, majorly occurring in the age group of 40–70 years and the second most common cancer worldwide. There are several advances in image processing techniques and machine learning algorithms which aids the medical domain. The image processing works with image enhancement and object localization. Machine learning algorithms input image features to train the breast cancer detection model. It is important to extract the image features accurately to achieve promising results. This paper gives detailed insights of histopathological image features describing their technical and usability aspects. The study covers the whole spectrum of the histopathological images which include Haralick texture features and KNN Algorithm using Dimension Reduction Algorithm (LDA and PCA) for the detection of breast cancer.

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Author information

Authors and Affiliations

  1. Sheth L.U.J. & Sir M.V. College, Mumbai, Maharashtra, India

    Tevar Durgadevi Murugan & Mahendra G. Kanojia

Authors
  1. Tevar Durgadevi Murugan
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  2. Mahendra G. Kanojia
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Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Solothurn, Switzerland

    Thomas Hanne

  3. Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, AL, USA

    Niketa Gandhi

  5. Universidade Federal da Bahia, Salvador, Bahia, Brazil

    Tatiane Nogueira Rios

  6. Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

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Murugan, T.D., Kanojia, M.G. (2021). Breast Cancer Detection Using Texture Features and KNN Algorithm. In: Abraham, A., Hanne, T., Castillo, O., Gandhi, N., Nogueira Rios, T., Hong, TP. (eds) Hybrid Intelligent Systems. HIS 2020. Advances in Intelligent Systems and Computing, vol 1375. Springer, Cham. https://doi.org/10.1007/978-3-030-73050-5_77

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