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Pathalogical Lab Image Retrieval as an Alternative Expert

by Sonali Pawar, Shivika Pandita, Mrunmayee Salunke
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 161 - Number 13
Year of Publication: 2017
Authors: Sonali Pawar, Shivika Pandita, Mrunmayee Salunke
10.5120/ijca2017913407

Sonali Pawar, Shivika Pandita, Mrunmayee Salunke . Pathalogical Lab Image Retrieval as an Alternative Expert. International Journal of Computer Applications. 161, 13 ( Mar 2017), 19-21. DOI=10.5120/ijca2017913407

@article{ 10.5120/ijca2017913407,
author = { Sonali Pawar, Shivika Pandita, Mrunmayee Salunke },
title = { Pathalogical Lab Image Retrieval as an Alternative Expert },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 161 },
number = { 13 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 19-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume161/number13/27331-2017913407/ },
doi = { 10.5120/ijca2017913407 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:07:24.399010+05:30
%A Sonali Pawar
%A Shivika Pandita
%A Mrunmayee Salunke
%T Pathalogical Lab Image Retrieval as an Alternative Expert
%J International Journal of Computer Applications
%@ 0975-8887
%V 161
%N 13
%P 19-21
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image retrieval in the real world is rapidly growing which has created innumerable possibilities for real world image search system. In this project inputs will be taken in the form of text and images. Based on that, disease will be detected and detailed report will be generated in case the doctor is not available. This project will be of great help in Pathology laboratories located in Rural areas where MD doctors are rare to be found. This system would be an alternative expert which will prove to be time saving. The text input of the system can we used by medical students for learning. Also the report generated by the system can be linked to social security number and used in case of emergencies as well as solving criminal cases and numerous other purposes.

References
  1. Rui, Yong, et al. "Relevance feedback: a power tool for interactive content-based image retrieval."IEEE Transactions on circuits and systems for video technology 8.5 (1998): 644-655.
  2. Rui, Yong, Thomas S. Huang, and Shih-Fu Chang. "Image retrieval: Current techniques, promising directions, and open issues." Journal of visual communication and image representation 10.1 (1999): 39-62.
  3. Jain, Anil K., and Aditya Vailaya. "Image retrieval using color and shape." Pattern recognition 29.8 (1996): 1233-1244.
  4. Rui, Yong, et al. "Relevance feedback: a power tool for interactive content-based image retrieval."IEEE Transactions on circuits and systems for video technology 8.5 (1998): 644-655.
  5. Gudivada, Venkat N., and Vijay V. Raghavan. "Content based image retrieval systems."Computer 28.9 (1995): 18-22.
  6. Datta, Ritendra, et al. "Image retrieval: Ideas, influences, and trends of the new age." ACM Computing Surveys (CSUR) 40.2 (2008)
  7. Henning Muller, Nicholas Michoux and David Bandon. “A review of content-based image retrieval systems in medical applications—clinical benefits and future directions”. Service of Medical Informatics, University Hospital of Geneva, Rue Micheli-du-Crest 24, 1211 Geneva 14, Switzerland
Index Terms

Computer Science
Information Sciences

Keywords

Image retrieval disease detection color shape size report generation.

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