Applying 3D U-Net Architecture to the Task of Multi-Organ Segmentation in Computed Tomography
The achievement of high-precision segmentation in medical image analysis has been an active direction of research over the past decade. Significant success in medical imaging tasks has been feasible due to the employment of deep learning methods, including convolutional neural networks (CNNs). Convo...
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| Format: | Article |
| Language: | English |
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Sciendo
2020-05-01
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| Series: | Applied Computer Systems |
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| Online Access: | https://doi.org/10.2478/acss-2020-0005 |