Evaluating Margin Sharpness Analysis on Similar Pulmonary Nodule Retrieval

@article{Ferreira2015EvaluatingMS,
  title={Evaluating Margin Sharpness Analysis on Similar Pulmonary Nodule Retrieval},
  author={Jos{\'e} Raniery Ferreira and Marcelo Costa Oliveira},
  journal={2015 IEEE 28th International Symposium on Computer-Based Medical Systems},
  year={2015},
  pages={60-65}
}
Lung cancer is the leading cause of cancer-related deaths in the world and its main manifestation is through pulmonary nodules. Pulmonary nodule classification is a challenging task that must be done by qualified specialists, but image interpretation errors and temporal aspects difficult those processes. In order to aid radiologists on the image interpretation process, it is important to integrate computer-based tools with the lung cancer diagnostic process. Content-Based Image Retrieval (CBIR… CONTINUE READING
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Performance evaluation of medical image similarity analysis in a heterogeneous architecture

  • J. R. Ferreira Junior, M. C. Oliveira
  • Proceedings of 27th IEEE International Symposium…
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