An Efficient Water Strider Algorithm with Auto Encoder for Cervical Cancer Diagnosis using Pap Smear Images
Author:
Affiliation:
1. Annamalai University,Department of Library and Information Science,Chidambaram,India
2. Annamalai University,Department of Computer and Information Science,Chidambaram,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9716239/9716227/09716358.pdf?arnumber=9716358
Reference22 articles.
1. Machine learning-based statistical analysis for early stage detection of cervical cancer
2. Cervical cancer classification using convolutional neural networks and extreme learning machines
3. Effective multiple cancer disease diagnosis frameworks for improved healthcare using machine learning
4. Machine learning for assisting cervical cancer diagnosis: An ensemble approach
Cited by 3 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. Predicting cervical cancer risk probabilities using advanced H20 AutoML and local interpretable model-agnostic explanation techniques;PeerJ Computer Science;2024-05-17
2. Segmentation and Classification Techniques for Pap Smear Images in Detecting Cervical Cancer: A Systematic Review;IEEE Access;2024
3. Computer Aided Diagnosis for Cervical Cancer Screening using Monarch Butterfly Optimization with Deep Learning Model;2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT);2023-01-23
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