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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