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RAD-UNet: Research on an improved lung nodule semantic segmentation algorithm based on deep learning
OBJECTIVE: Due to the small proportion of target pixels in computed tomography (CT) images and the high similarity with the environment, convolutional neural network-based semantic segmentation models are difficult to develop by using deep learning. Extracting feature information often leads to unde...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076852/ https://www.ncbi.nlm.nih.gov/pubmed/37035155 http://dx.doi.org/10.3389/fonc.2023.1084096 |