SMU-Net: Saliency-guided morphology-aware U-Net for breast lesion segmentation in ultrasound image

Z Ning, S Zhong, Q Feng, W Chen… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Deep learning methods, especially convolutional neural networks, have been successfully
applied to lesion segmentation in breast ultrasound (BUS) images. However, pattern …
被引用次数：88 相关文章

SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image

Z Ning, S Zhong, Q Feng, W Chen… - IEEE transactions on …, 2022 - pubmed.ncbi.nlm.nih.gov
Deep learning methods, especially convolutional neural networks, have been successfully
applied to lesion segmentation in breast ultrasound (BUS) images. However, pattern …

SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image.

Z Ning, S Zhong, Q Feng, W Chen… - IEEE Transactions on …, 2022 - europepmc.org
Deep learning methods, especially convolutional neural networks, have been successfully
applied to lesion segmentation in breast ultrasound (BUS) images. However, pattern …