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Early Stage Squamous Cell Lung Cancer Detection

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Book cover Advances in Decision Sciences, Image Processing, Security and Computer Vision (ICETE 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 3))

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Abstract

Smoking and consuming alcohol leads to dangerous disease Squamous cell Lung Cancer (SqCLC). It is widespread all over the world today. The mortality rate of this cancer is on the higher side as it is diagnosed in stage III or IV. Small nodules are formed in the lungs in the starting stage, and gradually spreads in and around lung regions by a process of metastasis. Only few symptoms are seen in early stages of Cancer. Diagnosing Lung Cancer in the early stage is essential. The paper attempts to diagnose Lung Cancer in early stages by processing the Chest Computed Tomography (CT) image and segment the small lung nodules. The method uses the median filter to filter the noise and Watershed transform in combination with Morphology-based region of interest segmentation to fragment the nodules. Various metrics of the nodules in the image are calculated and the stage of Lung Cancer is determined.

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Author information

Authors and Affiliations

  1. Department of BME, University College of Engineering (A), Osmania University, Hyderabad, India

    Harish Kuchulakanti

  2. Department of ECE, University College of Engineering (A), Osmania University, Hyderabad, India

    Chandrasekhar Paidimarry

Authors
  1. Harish Kuchulakanti
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  2. Chandrasekhar Paidimarry
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Corresponding author

Correspondence to Harish Kuchulakanti .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  3. Department of CSE, University College of Engineering, Osmania University, Hyderabad, Telangana, India

    K. Shyamala

  4. Department of ECE, University College of Engineering, Osmania University, Hyderabad, Telangana, India

    D. Rama Krishna

  5. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

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Kuchulakanti, H., Paidimarry, C. (2020). Early Stage Squamous Cell Lung Cancer Detection. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_15

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