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Automatic Lung Segmentation on Chest X-rays Using Self-Attention Deep Neural Network
Accurate identification of the boundaries of organs or abnormal objects (e.g., tumors) in medical images is important in surgical planning and in the diagnosis and prognosis of diseases. In this study, we propose a deep learning-based method to segment lung areas in chest X-rays. The novel aspect of...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826788/ https://www.ncbi.nlm.nih.gov/pubmed/33430480 http://dx.doi.org/10.3390/s21020369 |