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What is Dissertation Ayush Kumar about?

This dissertation presents an automated framework using U-Net deep learning architecture for the detection and segmentation of liver cirrhosis from T2-weighted MRI images. The model achieved high performance metrics, including an accuracy of 98.96% and an F1-score of 93.42%, outperforming traditional machine learning methods. The study emphasizes the importance of early detection of cirrhosis to prevent severe health complications and highlights the effectiveness of deep learning in medical image analysis.

Author

Krishna Chauhan

Language

EN