Content Based Retrieval of Small Cell Lung Cancer Images from Clinical Database

Authors

  • Vijayalaxmi Rathod  Student Computer Science and Engineering Department SDMCET-Dharwad, Karnataka, India
  • Rani Shetty  Assistant Professor Computer science and engineering Department SDMCET-Dharwad, Karnataka, India

Keywords:

Image Enhancement, Gabor Filter, Segmentation, Feature extraction, Feature vector

Abstract

Lung Cancer is a standout amongst the most deadly ailment influencing humanity on the planet. Small cell lung tumor is starting phase of Lung carcinoma disease, initially it found in the just a single side of lung and later it will spreads to other parts of human body. The proposed Content based image retrieval system for Small Cell Lung Cancer images, system retrieves the similar images from database that match the input query image condition and also decides that the input CT lung image is influenced by malignancy or not. Efficiency of algorithms are also calculated, for content based Small Cell Lung Cancer image retrieval system the Precision and Recall values are also studied.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-06-30

Issue

Volume 3, Issue 5, May-June-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vijayalaxmi Rathod, Rani Shetty, " Content Based Retrieval of Small Cell Lung Cancer Images from Clinical Database , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.357-364, May-June-2018.