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Application of Deep Convolution Network to Automated Image Segmentation of Chest CT for Patients With Tumor
OBJECTIVES: To automate image delineation of tissues and organs in oncological radiotherapy by combining the deep learning methods of fully convolutional network (FCN) and atrous convolution (AC). METHODS: A total of 120 sets of chest CT images of patients were selected, on which radiologists had ou...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511825/ https://www.ncbi.nlm.nih.gov/pubmed/34660284 http://dx.doi.org/10.3389/fonc.2021.719398 |