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Boundary Aware Semantic Segmentation using Pyramid-dilated Dense U-Net for Lung Segmentation in Computed Tomography Images
AIM: The main objective of this work is to propose an efficient segmentation model for accurate and robust lung segmentation from computed tomography (CT) images, even when the lung contains abnormalities such as juxtapleural nodules, cavities, and consolidation. METHODOLOGY: A novel deep learning-b...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Wolters Kluwer - Medknow
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419745/ https://www.ncbi.nlm.nih.gov/pubmed/37576094 http://dx.doi.org/10.4103/jmp.jmp_1_23 |