Cloud solution for histopathological image analysis using region of interest based compression

@article{Kanakatte2017CloudSF,
  title={Cloud solution for histopathological image analysis using region of interest based compression},
  author={Aparna Kanakatte and Rakshith Subramanya and Ashik Delampady and Rajarama Nayak and Balamuralidhar Purushothaman and Jayavardhana Gubbi},
  journal={2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2017},
  pages={1202-1205}
}
Recent technological gains have led to the adoption of innovative cloud based solutions in medical imaging field. Once the medical image is acquired, it can be viewed, modified, annotated and shared on many devices. This advancement is mainly due to the introduction of Cloud computing in medical domain. Tissue pathology images are complex and are normally collected at different focal lengths using a microscope. The single whole slide image contains many multi resolution images stored in a… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 11 REFERENCES

Pathological image compression scheme: A literature review

F. Thakkar, D. V. Srivastava
  • International Journal on Computer Technology and Applications,, vol. 5, no. 2, pp. 622 – 629, 2014.
  • 2014
VIEW 1 EXCERPT

us20070217699a1: Jpeg2000 standard for efficient compression of digital images

I. F. Mahiar, J. K. Dinesh
  • 03 2007.
  • 2007
VIEW 1 EXCERPT

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