Cervical Cancer Classification using Machine Learning with Feature Importance and Model Explainability
Author:
Affiliation:
1. HSTU,Department of CSE,Dinajpur,Bangladesh,5200
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10114473/10114474/10114548.pdf?arnumber=10114548
Reference12 articles.
1. Rapid identification of cervical adenocarcinoma and cervical squamous cell carcinoma tissue based on Raman spectroscopy combined with multiple machine learning algorithms
2. Cytokine gene variants and socio-demographic characteristics as predictors of cervical cancer: A machine learning approach
3. Effect of Imbalance Data Handling Techniques to Improve the Accuracy of Heart Disease Prediction using Machine Learning and Deep Learning
4. DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
5. Intelligent and nature inspired optimization methods in medicine: the Pap smear cell classification problem
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