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CNNs for Brain Tumor Classification by rifath.bin.hossain010 is a document available to read on EtoBox.

This research investigates the use of Convolutional Neural Networks (CNNs) for the automated classification of brain tumors from MRI scans, highlighting the potential for improved clinical workflows and patient outcomes. The study reviews existing CNN architectures, identifies limitations in current approaches, and proposes a novel methodology that achieves state-of-the-art classification accuracy through extensive experimentation and optimization techniques. The findings emphasize the importance of data au

Author

rifath.bin.hossain010

Language

EN