Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database

OBJECTIVES: To benchmark the performance of state-of-the-art computer-aided detection (CAD) of pulmonary nodules using the largest publicly available annotated CT database (LIDC/IDRI), and to show that CAD finds lesions not identified by the LIDC’s four-fold double reading process. METHODS: The LIDC...

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發表在:Eur Radiol
Main Authors: Jacobs, Colin, van Rikxoort, Eva M., Murphy, Keelin, Prokop, Mathias, Schaefer-Prokop, Cornelia M., van Ginneken, Bram
格式: Artigo
語言:Inglês
出版: Springer Berlin Heidelberg 2015
主題:
Computer Applications
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC4902840/
https://ncbi.nlm.nih.gov/pubmed/26443601
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-015-4030-7
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