Automatic detection of ultrasound breast lesions: a novel saliency detection model based on multiple priors
Author:
Funder
science and technology program of guangzhou
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-021-02012-2.pdf
Reference35 articles.
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4. Xi, X., Shi, H., Han, L., Wang, T., Ding, H.Y., Zhang, G., Tang, Y., Yin, Y.: Breast tumor segmentation with prior knowledge learning. Neurocomputing 237, 145–157 (2017)
5. Xian, M., Zhang, Y., Cheng, H.-D.: Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains. Pattern Recogn. 48(2), 485–497 (2015)
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