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AUTOMATIC TISSUE CHARACTERIZATION OF AIR TRAPPING IN CHEST RADIOGRAPHS USING DEEP NEURAL NETWORKS
Significant progress has been made in recent years for computer-aided diagnosis of abnormal pulmonary textures from computed tomography (CT) images. Similar initiatives in chest radiographs (CXR), the common modality for pulmonary diagnosis, are much less developed. CXR are fast, cost effective and...
Sparad:
| I publikationen: | Conf Proc IEEE Eng Med Biol Soc |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5459489/ https://ncbi.nlm.nih.gov/pubmed/28324924 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC.2016.7590649 |
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