U-Net architecture variants for brain tumor segmentation of histogram corrected images
In this paper we propose to create an end-to-end brain tumor segmentation system that applies three variants of the well-known U-Net convolutional neural networks. In our results we obtain and analyse the detection performances of U-Net, VGG16-UNet and ResNet-UNet on the BraTS2020 training dataset....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Scientia Publishing House
2022-08-01
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| Series: | Acta Universitatis Sapientiae: Informatica |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/ausi-2022-0004 |