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DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning
Extracting, harvesting, and building large-scale annotated radiological image datasets is a greatly important yet challenging problem. Meanwhile, vast amounts of clinical annotations have been collected and stored in hospitals’ picture archiving and communication systems (PACS). These types of annot...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6052252/ https://ncbi.nlm.nih.gov/pubmed/30035154 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.3.036501 |
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