Diagnosis of cervical cancer using effective hybrid model in Bangladesh

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Saad-Ul-Kabir, Syed, Neeha, Ashwaq Noor, Ibnat, Rifah Nanjiba, Prottasha, Tanjila Haque, Ananna, Sadika Rahman
مؤلفون آخرون:	Islam, Md. Saiful
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2021
الموضوعات:	Cervical Cancer K-Nearest Neighbor Hybrid Machine Learning Demography Stochastic Gradient Descent Recurrent Neural Network Support Vector Machine Random Forest Naive Bayes AdaBoost Cervical cancer
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/15163

http://hdl.handle.net/10361/15163

مواد مشابهة