Nadeen Amgad, Mariam Ahmed; Haidy Haitham; Moamen Zaher; Ammar Mohammed

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Nadeen Amgad, Mariam Ahmed; Haidy Haitham; Moamen Zaher; Ammar Mohammed

Let determination be your compass on the road to achievement.

 

MSA University and the Faculty of Computer Science would like to congratulate the students and staff members: Nadeen Amgad, Mariam Ahmed; Haidy Haitham; Moamen Zaher; Ammar Mohammed for publishing a scientific paper to the IEEE Xplore as part of the 2023 Intelligent Methods, Systems, and Applications (IMSA) proceedings.

 

The paper entitled 'A Robust Ensemble Deep Learning Approach for Breast Cancer Diagnosis' embarks on a comprehensive exploration of ensemble deep learning techniques to improve the performance of breast cancer classification models. Their primary objective was to leverage the power of pre-trained models and elevate their capabilities through the application of ensemble and meta-learning techniques.

 

We invite you to explore the full paper by following the button below:

 

 

Congratulations to our remarkable students and staff members