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Contemporary Oncology/Współczesna Onkologia
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1/2024
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Original paper

Deep feature extraction and fine κ-nearest neighbour for enhanced human papillomavirus detection in cervical cancer – a comprehensive analysis of colposcopy images

Lipsarani Jena
1, 2
,
Santi Kumari Behera
1
,
Srikanta Dash
3
,
Prabira Kumar Sethy
3, 4

1.
Veer Surendra Sai University of Technology, Burla, India
2.
GITA Autonomous College, Bhubaneswar, India
3.
Sambalpur University, India
4.
Guru Ghasidas Vishwavidyalaya, Bilaspur, C.G., India
Contemp Oncol (Pozn) 2024; 28 (1): 37–44
DOI: https://doi.org/10.5114/wo.2024.139091
Online publish date: 2024/04/26
Article file
- Deep feature extraction.pdf  [0.16 MB]
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1. Mahmoodi P, Fani M, Rezayi M, et al. Early detection of cervical cancer based on high-risk HPV DNA-based genosensors: a systematic review. Biofactors 2019; 45: 101-117.
2. Singini MG, Singh E, Bradshaw D, et al. Usefulness of high-risk HPV early oncoprotein (E6 and E7) serological markers in the detection of cervical cancer: a systematic review and meta-analysis. J Med Virol 2023; 95: e27900.
3. Burd EM. Human papillomavirus and cervical cancer. Clin Microbiol Rev 2003; 16: 1-17.
4. Zhang T, Luo YM, Li P, et al. Cervical pre-cancerous lesions classification using pre-trained densely connected convolutional networks with colposcopy images. Biomed Signal Process Control 2020; 55: 101566.
5. Li Y, Chen J, Xue P, et al. Computer-aided cervical cancer diagnosis using time-lapsed colposcopic images. IEEE Trans Med Imaging 2020; 39: 3403-3415.
6. Yu Y, Ma J, Zhao W, Li Z, Ding S. MSCI: a multistate dataset for colposcopy image classification of cervical cancer screening. Int J Med Inform 2021; 146: 104352.
7. Saini SK, Bansal V, Kaur R, Juneja M. ColpoNet for automated cervical cancer screening using colposcopy images. Mach Vision Appl 2020; 31: 1-15.
8. Xu T, Zhang H, Xin C, et al. Multi-feature-based benchmark for cervical dysplasia classification evaluation. Pattern Recognit 2017; 63: 468-475.
9. Cho BJ, Choi YJ, Lee MJ, et al. Classification of cervical neoplasms on colposcopic photography using deep learning. Sci Rep 2020; 10: 13652.
10. Samet H. Foundations of multidimensional and metric data structures. Morgan Kaufmann, Burlington 2006.
11. Bansal P, Gehlot K, Singhal A, Gupta A. Automatic detection of osteosarcoma based on integrated features and feature selection using binary arithmetic optimization algorithm. Multimed Tools Appl 2022; 81: 8807-8834.
12. Tan M, Le Q. Efficientnet: rethinking model scaling for convolutional neural networks. In International Conference on Machine Learning 2019, 6105-6114.
13. Howard AG, Zhu M, Chen B, et al. Mobilenets: efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv 2017; 1704.04861.
14. Selvaraj H, Selvi ST, Selvathi D, Gewali L. Brain MRI slices classification using least squares support vector machine. Int J Intelligent Computing Med Sci Image Process 2007; 1: 21-33.
15. Ramteke RJ, Monali KY. Automatic medical image classification and abnormality detection using k-nearest neighbour. Int J Adv Computer Res 2012; 2: 190.
Copyright: © 2024 Termedia Sp. z o. o. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
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