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Experimental Face Recognition Using Applied Deep Learning Approaches to Find Missing Persons Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Analyzing Behavior to Detect Cervical Cancer

Author : Rup Kumar Deka

Published in: Proceedings of International Conference on Frontiers in Computing and Systems

Publisher: Springer Nature Singapore

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Abstract

Cervical cancer is preventable if one can detect it at an early stage. Due to cervical cancers, the human body imparts various behaviors and seven different determinants of this behavior. Behaviors can be conscious and also subconscious. And also, all expressing behaviors might not be completely correlated. In this work, a strategy has been proposed to exclude non-correlated features to maintain or enhance the detection accuracy of cervical cancer at an early stage. Experimental results show a maximum of 94.4% accuracy, and thus, it proves the efficacy of the proposed work.

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Footnotes
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Metadata
Title
Analyzing Behavior to Detect Cervical Cancer
Author
Rup Kumar Deka
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Proceedings of International Conference on Frontiers in Computing and Systems

Print ISBN: 978-981-19-0104-1

Electronic ISBN: 978-981-19-0105-8

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-0105-8_28