On hierarchical brain tumor segmentation in MRI using fully convolutional neural networks: a preliminary study
Magnetic Resonance Imaging is the preferred imaging modality for assessing brain tumors, and segmentation is necessary for diagnosis and treatment planning. Thus, robust automatic segmentation methods are required. Machine learning proposals where the model is learned from data are quite successful....
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| Other Authors: | , , |
| Format: | conferencePaper |
| Language: | eng |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/53098 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/53098 |