Breast Cancer Computer-Aided Diagnosis System Using k-NN Algorithm Based on Hausdorff Distance
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-29885-2_16
Reference21 articles.
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2. Chavent, M.: A Hausdorff distance between hyper-rectangles for clustering interval data. In: Banks, D., McMorris, F.R., Arabie, P., Gaul, W. (eds.) Classification, Clustering, and Data Mining Applications, pp. 333–339. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-642-17103-1_32
3. Cheng, F., Hsu, N.: Automated cell nuclei segmentation from microscopic images of cervical smear. In: 2016 International Conference on Applied System Innovation (ICASI), pp. 1–4 (2016). https://doi.org/10.1109/ICASI.2016.7539846
4. Cui, Y., Zhang, G., Liu, Z., Xiong, Z., Hu, J.: A deep learning algorithm for one-step contour aware nuclei segmentation of histopathological images. arXiv preprint: arxiv:1803.02786 (2018)
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