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pro vyhledávání: '"Samir, Romario Sameh"'
Autor:
Amin, Belal, Samir, Romario Sameh, Tarek, Youssef, Ahmed, Mohammed, Ibrahim, Rana, Ahmed, Manar, Hassan, Mohamed
This study proposes a deep learning model for the classification and segmentation of brain tumors from magnetic resonance imaging (MRI) scans. The classification model is based on the EfficientNetB1 architecture and is trained to classify images into
Externí odkaz:
http://arxiv.org/abs/2304.10039
Autor:
Samir, Romario Sameh
Accurate and efficient classification of different types of cancer is critical for early detection and effective treatment. In this paper, we present the results of our experiments using the EfficientNet algorithm for classification of brain tumor, b
Externí odkaz:
http://arxiv.org/abs/2304.08715
Autor:
Badawy, Belal, Samir, Romario Sameh, Tarek, Youssef, Ahmed, Mohammed, Ibrahim, Rana, Ahmed, Manar, Hassan, Mohamed
Brain tumors are a complex and potentially life-threatening medical condition that requires accurate diagnosis and timely treatment. In this paper, we present a machine learning-based system designed to assist healthcare professionals in the classifi
Externí odkaz:
http://arxiv.org/abs/2304.07901