Automated CT Analysis: Enhancing Brain Hemorrhage Detection

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This seminar highlights the pivotal role of early diagnosis in enhancing diagnostic speed, focusing on the use of deep learning methods within CT diagnostics. By leveraging MATLAB and advanced architectures like CNN and 3D U-Net, the approach addresses existing challenges, showcasing innovations in preprocessing with datasets such as CQ500 and BraTS. Results reveal significant improvements in hemorrhage detection accuracy and 3D tumor delineation, augmenting radiologist expertise. The session...