Author:
Chen Gongping,Liu Yuming,Qian Jiang,Zhang Jianxun,Yin Xiaotao,Cui Liang,Dai Yu
Funder
National Natural Science Foundation of China
Anhui Provincial Department of Education
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference39 articles.
1. Abraham, N., Khan, N.M.B.T., 2019. A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation, in: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI). IEEE, pp. 683–687.
2. Al-Dhabyani, W., Gomaa, M., Khaled, H., Fahmy, A., 2020. Dataset of breast ultrasound images. Data Br. 28, 104863.
3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation;Badrinarayanan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017
4. Breast mass segmentation in ultrasound with selective kernel U-Net convolutional neural network;Byra;Biomedical Signal Processing and Control,2020
5. RRCNet: Refinement residual convolutional network for breast ultrasound images segmentation;Chen;Engineering Applications of Artificial Intelligence,2023
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