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CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images
The pandemic of novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) also known as COVID-19 has been spreading worldwide, causing rampant loss of lives. Medical imaging such as computed tomography (CT), X-ray, etc., plays a significant role in diagnosing the patients by presenting the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer US
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924740/ https://www.ncbi.nlm.nih.gov/pubmed/35310011 http://dx.doi.org/10.1007/s11063-022-10785-x |