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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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| 發表在: | J Imaging |
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| Main Authors: | , , , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2020
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| 主題: | |
| 在線閱讀: | 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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