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Convolutional neural network for automated mass segmentation in mammography
BACKGROUND: Automatic segmentation and localization of lesions in mammogram (MG) images are challenging even with employing advanced methods such as deep learning (DL) methods. We developed a new model based on the architecture of the semantic segmentation U-Net model to precisely segment mass lesio...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7724817/ https://ncbi.nlm.nih.gov/pubmed/33297952 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3521-y |
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