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Fig. 4 | EURASIP Journal on Advances in Signal Processing

Fig. 4

From: A dynamic few-shot learning framework for medical image stream mining based on self-training

Fig. 4

The quantitative segmentation results of our proposed segmentation method on three different data sets. It can be seen that the segmentation effect achieved by our method is very close to the real situation. In order to demonstrate the good generalization ability of the proposed method, the segmentation of Abd CT and Abd MRI images in the figure is based on setting 2, that is, the training data does not contain the same category as the test set data

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