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Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics Studies
Background: The aim of this work is to identify an automatic, accurate, and fast deep learning segmentation approach, applied to the parenchyma, using a very small dataset of high-resolution computed tomography images of patients with idiopathic pulmonary fibrosis. In this way, we aim to enhance the...
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| Yayımlandı: | J Imaging |
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| Asıl Yazarlar: | , , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8321165/ https://ncbi.nlm.nih.gov/pubmed/34460569 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jimaging6110125 |
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