Diagnosis of Cough and Cancer Using Image Compression and Decompression Techniques

  • Ashish Tripathi
  • Ratnesh Prasad Srivastava
  • Arun Kumar Singh
  • Pushpa Choudhary
  • Prem Chand Vashist
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1097)


This paper is dedicated to provide a technique with an innovative approach which can efficiently compress and recognize medical images. Since medical images are huge in size, therefore, compression of medical images is needed. Then, recognition capability is tested with the compressed and the uncompressed images. Basically, in this paper, two steps have been used to identify the disease. In the first step, the physical size of the medical image is reduced, and in the second step, differentiation of the image of particularly lung part of the human body at different disease states is performed. The objective of this paper is to detect and analyze the lung part of the human body based on cough state before entering into the cancer state so that the disease can be cured.


Medical images compression Discrete cosine transformation (DCT) Principle component analysis (PCA) Medical images recognize 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ashish Tripathi
    • 1
  • Ratnesh Prasad Srivastava
    • 2
  • Arun Kumar Singh
    • 1
  • Pushpa Choudhary
    • 1
  • Prem Chand Vashist
    • 1
  1. 1.Department of ITG. L. Bajaj Institute of Technology and ManagementGreater NoidaIndia
  2. 2.Department of Information TechnologyCollege of Technology, GBPUATPantnagarIndia

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