Morphometric characteristics in discrete domain for brain tumor recognition

Silva J.; Zilberman J.; Bravo N.N.; Varela N.; Lezama O.B.P. · Advances in Intelligent Systems and Computing (2021) · DOI: 10.1007/978-3-030-53036-5_9

Resumen

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. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

Instituciones: Universidad Peruana de Ciencias Aplicadas