Difficulty-aware bi-network with spatial attention constrained graph for axillary lymph node segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s11432-020-3079-8.pdf
Reference34 articles.
1. Zhang J H, Wang Y Y, Shi X L. An improved graph cut segmentation method for cervical lymph nodes on sonograms and its relationship with node’s shape assessment. Comput Med Imag Graph, 2009, 33: 602–607
2. Zhang Y Z, Ying M, Lin Y, et al. Coarse-to-fine stacked fully convolutional nets for lymph node segmentation in ultrasound images. In: Proceedings of IEEE International Conference on Bioinformatics and Biomedicine, 2016. 443–448
3. Chmielewski A, Dufort P, Scaranelo A M. A computerized system to assess axillary lymph node malignancy from sonographic images. Ultrasound Med Biol, 2015, 41: 2690–2699
4. Diepstraten S C E, Sever A R, Buckens C F M, et al. Value of preoperative ultrasound-guided axillary lymph node biopsy for preventing completion axillary lymph node dissection in breast cancer: a systematic review and meta-analysis. Ann Surg Oncol, 2014, 21: 51–59
5. Guo Q, Dong Z W, Zhang L, et al. Ultrasound features of breast cancer for predicting axillary lymph node metastasis. J Ultrasound Med, 2018, 37: 1354–1353
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