Abstract
World Health Organization (WHO) classifies brain tumors by their level of aggressiveness into four grades depending on their aggressiveness or malignancy as I to IV respectively [1]. From this classification of primary brain tumors, the four categories can be considered in two groups: Low Grade (LG) and High Grade (HG), in which the LG group is composed of grade I and II brain tumors, while the HG group is composed of grades III and IV brain tumors [2]. This paper focuses on the morphometric analysis of brain tumors and the study of the correlation of tumor shape with its degree of malignancy.
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Silva, J., Zilberman, J., Bravo, N. N., Varela, N., & Lezama, O. B. P. (2021). Morphometric characteristics in discrete domain for brain tumor recognition. In Advances in Intelligent Systems and Computing (Vol. 1237 AISC, pp. 81–88). Springer. https://doi.org/10.1007/978-3-030-53036-5_9
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