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Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain
Computer aided detection (CADe) of pulmonary nodules plays an important role in assisting radiologists’ diagnosis and alleviating interpretation burden for lung cancer. Current CADe systems, aiming at simulating radiologists’ examination procedure, are built upon computer tomography (CT) images with...
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| Published in: | Vis Comput Ind Biomed Art |
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| Main Authors: | , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Springer Singapore
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7099542/ https://ncbi.nlm.nih.gov/pubmed/32240409 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s42492-019-0029-2 |
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