Loss, post-processing and standard architecture improvements of liver deep learning segmentation from Computed Tomography and magnetic resonance
As deep learning is increasingly applied to segmentation of organs from Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) sequences, we should understand the importance of certain operations that can improve the quality of results. For segmentation of the liver from those sequences, we q...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Texto completo: | http://hdl.handle.net/10316/101213 |
| País: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/101213 |