Detection of Cancer Cell Growth in Lung Image Using Artificial Neural Network

R. Pandian, S. LalithaKumari and R. Raja Kumar
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R. Pandian: Sathyabama Institute of Science and Technology, School of EEE
S. LalithaKumari: Sathyabama Institute of Science and Technology, School of EEE
R. Raja Kumar: Sathyabama Institute of Science and Technology, School of EEE

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1465-1469 from Springer

Abstract: Abstract Image compression finds an exhaustive application in the field of medical image file storage. Image files contain considerable amount of redundant and irrelevant data and suitable image compression algorithms can be used to eliminate this. In this paper, Coiflet wavelet is used to perform the compression for computer tomography image of coronel view. The CT images are encoded using the different types of encoding techniques .The performances of compression are measured in terms of PSNR, Compression ratio, Means square error and bits per pixel. The Image texture features are extracted, and it is proven that after compression and further it can be used for classification of images.

Keywords: Transform; ANN; Encoder; Texture Feature (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_150

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DOI: 10.1007/978-3-030-41862-5_150

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