Tipificação de Tumores Cerebrais Utilizando Características Radiômicas e Redes Neurais Profundas

• Davidson L. Souza IF Sudeste MG
• Alessandra M. Coelho IF Sudeste MG
• Matheus F. O. Baffa USP

DOI: https://doi.org/10.5753/ercas.2021.17434

Abstract

The Central Nervous System's tumors consist in the development of cancer cells in one of the nervous structures, such as the brain and the spinal cord. Although there are no routine tests for early diagnosis, the early detection on MRI images can provide a better prognosis. Thus, this paper addresses the development of a brain tumor classification method for multimodality MRI. Using Deep Neural Networks and radiomic feature extraction, the present study obtained a 90,29% accuracy in determining the types of tumor present in the exams.

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