MAPFUNet: Multi-attention Perception-Fusion U-Net for Liver Tumor Segmentation
Author:
Funder
BBSRC
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42235-024-00562-y.pdf
Reference57 articles.
1. Moghbel, M., Mashohor, S., Mahmud, R., & Saripan, M. I. B. (2018). Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography. Artificial Intelligence Review, 50, 497–537. https://doi.org/10.1007/s10462-017-9550-x
2. Li, Y., Zhao, Y., & Liao, M. (2021). Automatic segmentation of liver from abdominal ct sequence based on level set and shape descriptor. Journal of Automation, 47(2), 327–337. https://doi.org/10.1016/j.cmpb.2020.105533
3. Xia, Y., Qiao, S., & Ye, Q. (2020). Automatic liver segmentation method based on deep learning and region growing algorithm. International Journal of Performability Engineering, 16(12), 1900. https://doi.org/10.23940/ijpe.20.12.p6.19001909
4. Yang, Z., Zhao, Y. Q., Liao, M., Di, S. H., & Zeng, Y. Z. (2021). Semi-automatic liver tumor segmentation with adaptive region growing and graph cuts. Biomedical Signal Processing and Control, 68, 102670. https://doi.org/10.1016/j.bspc.2021.102670
5. Devi, R. M., & Seenivasagam, V. (2020). Automatic segmentation and classification of liver tumor from CT image using feature difference and SVM based classifier-soft computing technique. Soft Computing, 24(24), 18591–18598. https://doi.org/10.1007/s00500-020-05094-1
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