Automated Analysis of Medical Images in the Healthcare Domain
- Authors: Parul Chhabra1, Pradeep Kumar Bhatia2, Vipin Babbar3
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View Affiliations Hide Affiliations1 Department of Computer Science & Engineering, G. J. University of Science & Technology, Hisar, Haryana, India 2 Department of Computer Science & Engineering, G. J. University of Science & Technology, Hisar, Haryana, India 3 Department of Computer Science & Engineering, G. J. University of Science & Technology, Hisar, Haryana, India
- Source: The Future of Computing: Ubiquitous Applications and Technologies , pp 1-12
- Publication Date: November 2024
- Language: English
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During lab tests, thousands of medical images are generated to trace the disease's symptoms. Manual interpretation of this data may consume excessive time and thus may delay diagnosis. Timely detection of critical diseases is very important as their stage can be changed over an interval. Automated analysis of medical data can reduce the gap between disease detection and its diagnosis and it also reduces the overall computational cost. In this paper, this goal will be achieved using different methods (Classification/ Segmentation/ Image Encoding/ Decoding/ Registration/ Restoration/ Morphology).
Hardbound ISBN:
9789815256000
Ebook ISBN:
9789815238990
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