Automatic brain tumour regions segmentation using modified U-Net

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Kaewrak, Keerati and Soraghan, John and Di Caterina, Gaetano and Grose, Derek (2020) Automatic brain tumour regions segmentation using modified U-Net. Academic Journal for Thai Researchers in Europe, 1 (1). pp. 45-48. ISSN 2730-2784 (https://doi.org/10.5281/zenodo.4383337)

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Abstract

Early diagnosis is an important key for brain tumour patients' survival. The segmentation of the tumour regions is done manually by the experts and it is time-consuming. In this work, we present a novel network architecture that automatically segments the whole tumour regions and intra-tumour structures (edema, enhancing tumour, necrotic and non-enhancing tumour). We evaluated the results using dice similarity coefficient and obtained promising results.

ORCID iDs

Kaewrak, Keerati, Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391, Di Caterina, Gaetano ORCID logoORCID: https://orcid.org/0000-0002-7256-0897 and Grose, Derek;
CORE (COnnecting REpositories)