An Extensive Study of Cervical Cancer Detection Methods Using Machine and Deep Learning Approaches-Reference-Cited by-同舟云学术

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An Extensive Study of Cervical Cancer Detection Methods Using Machine and Deep Learning Approaches

Published:2022-12-08 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)
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Author:

Francis Divya¹,Chitra R²,Kasthuri Rengan.P³,Sri Vignesh.G²

Affiliation:

1. PSNA College of Engineering and Technology,Department of Electronics and Communication

2. Sri Sai Ram Engineering College,Department of Electronics and Communication

3. K. Ramakrishnan College of Engineering,Department of Computer Science and Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10046661/10046421/10047277.pdf?arnumber=10047277

Reference21 articles.

1. Cervical Cancer Detection and Classification in Cytology Images Using a Hybrid Approach

2. CytoBrain: Cervical Cancer Screening System Based on Deep Learning Technology

3. Performance Assessment of Machine Learning Classifiers Using Selective Feature Approaches for Cervical Cancer Detection

4. Single and Clustered Cervical Cell Classification with Ensemble and Deep Learning Methods

5. Automatic classification of cervical cancer from cytological images by using convolutional neural network

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Based Classification Models for Early Analysis and Prediction of Cervical Cancer;2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS);2023-10-27

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