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Table 1 Key differences between the previous methods and the proposed method

From: Post-processing radio-frequency signal based on deep learning method for ultrasonic microbubble imaging

Method The previous method The proposed method
Strength Simpler, no need for large amounts of data More accurate bubble area prediction with trained model
Weakness Unable to accurately predict the location of bubble area Need to collect a lot of data to train the network