The segmentation of the left ventricle of the heart from ultrasound data using deep learning architectures and derivative-based search methods
We present a new supervised learning model designed for the automatic segmentation of the left ventricle (LV) of the heart in ultrasound images. We address the following problems inherent to supervised learning models: 1) the need of a large set of training images; 2) robustness to imaging condition...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2014
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.10/1067 |
| País: | Portugal |
| Oai: | oai:repositorio.hff.min-saude.pt:10400.10/1067 |