MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
Abstract Background The increased availability and usage of modern medical imaging induced a strong need for automatic medical image segmentation. Still, current image segmentation platforms do not provide the required functionalities for plain setup of medical image segmentation pipelines. Already...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-01-01
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| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-020-00543-7 |