Automatic Brain Tumour Regions Segmentation Using Modified U-Net
| Main Authors: | Kaewrak, Keerati, Soraghan, John, Di Caterina, Gaetano, Grose, Derek |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4383337 |
Daftar Isi:
- 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.