Towards an automatic bag-of-features model for the classification of dermoscopy images: The influence of segmentation

@article{Barata2013TowardsAA,
  title={Towards an automatic bag-of-features model for the classification of dermoscopy images: The influence of segmentation},
  author={Catarina Barata and Jorge S. Marques and M. Emre Celebi},
  journal={2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)},
  year={2013},
  pages={274-279}
}
The classification of skin lesions in dermoscopy images depends on three critical steps: i) lesion segmentation, ii) feature extraction and iii) feature classification. Lesion segmentation plays an important role since segmentation errors may jeopardize the other two steps, leading to erroneous decisions. This paper studies the robustness of a skin lesion classifier based on a Bag-of-features approach in the presence of segmentation errors. We compare the performance achieved by the system… CONTINUE READING

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