Modified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method
Abstract Background Liver cancer is the sixth most common cancer worldwide. It is mostly diagnosed with a computed tomography scan. Nowadays deep learning methods have been used for the segmentation of the liver and its tumor from the computed tomography (CT) scan images. This research mainly focuse...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-03-01
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| Series: | BMC Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42490-021-00050-y |