Morphometric characteristics in discrete domain for brain tumor recognition
Date
2020
2020
Author
Silva, Jesús
Zilberman, Jack
Bravo Núñez, Narledis
Varela Izquierdo, Noel
Pineda, Omar
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Enlace externo del documento: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089719105&doi=10.1007%2f978-3-030-53036-5_9&partnerID=40&md5=929a44084e2e0a2112ec8c63c31239a9
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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