A Robust and Explainable Deep Learning Method for Cervical Cancer Screening

Author:

Di Giammarco Marcello,Mercaldo Francesco,Zhou Xiaoli,Huang Pan,Santone Antonella,Cesarelli Mario,Martinelli Fabio

Publisher

Springer Nature Switzerland

Reference23 articles.

1. Adiba, F.I., Islam, T., Kaiser, M.S., Mahmud, M., Rahman, M.A.: Effect of corpora on classification of fake news using Naive Bayes classifier. Int. J. Autom. Artif. Intell. Mach. Learn. 1(1), 80–92 (2020)

2. Akter, L., et al.: Prediction of cervical cancer from behavior risk using machine learning techniques. SN Comput. Sci. 2(3), 1–10 (2021)

3. Ali, M., Sarwar, A., Sharma, V., Suri, J.: Artificial neural network based screening of cervical cancer using a hierarchical modular neural network architecture (HMNNA) and novel benchmark uterine cervix cancer database. Neural Comput. Appl. 31(7), 2979–2993 (2019)

4. Asadi, F., Salehnasab, C., Ajori, L.: Supervised algorithms of machine learning for the prediction of cervical cancer. J. Biomed. Phys. Eng. 10(4), 513 (2020)

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);M Biswas,2021

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