Using Histogram Skewness and Kurtosis Features for Detection of White Matter Hyperintensities in MRI Images
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38430-1_6
Reference12 articles.
1. Balakrishnan, R., Hernández, M.d.C.V., Farrall, A.J.: Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data—A systematic review. Comput. Med. Imaging Graph. 88, 101867 (2021)
2. Doane, D.P., Seward, L.E.: Measuring skewness: a forgotten statistic? J. Stat. Educ. 19(2) (2011)
3. Frey, B.M., Petersen, M., Mayer, C., Schulz, M., Cheng, B., Thomalla, G.: Characterization of white matter hyperintensities in large-scale MRI-studies. Front. Neurol. 10, 238 (2019)
4. Heinen, R., Steenwijk, M.D., Barkhof, F., Biesbroek, J.M., van der Flier, W.M., Kuijf, H.J., Prins, N.D., Vrenken, H., Biessels, G.J., de Bresser, J.: Performance of five automated white matter hyperintensity segmentation methods in a multicenter dataset. Sci. Rep. 9(1), 1–12 (2019)
5. Jack, C.R., Jr., O’Brien, P.C., Rettman, D.W., Shiung, M.M., Xu, Y., Muthupillai, R., Manduca, A., Avula, R., Erickson, B.J.: Flair histogram segmentation for measurement of leukoaraiosis volume. J. Magn. Reson. Imaging: Off. J. Int. Soc. Magn. Reson. Med. 14(6), 668–676 (2001)
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