Versatile convolutional networks applied to Computed Tomography and Magnetic Resonance image segmentation
Medical image segmentation has seen positive developments in recent years but remains challenging with many practical obstacles to overcome. The applications of this task are wide-ranging in many fields of medicine, and used in several imaging modalities which usually require tailored solutions. Dee...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Texto completo: | https://hdl.handle.net/10216/134300 |
| País: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/134300 |