Corpus ID: 59631524

COMPUTATIONAL TECHNIQUES FOR SKIN LESION TRACKING AND CLASSIFICATION

@inproceedings{Dastjerdi2014COMPUTATIONALTF,
  title={COMPUTATIONAL TECHNIQUES FOR SKIN LESION TRACKING AND CLASSIFICATION},
  author={Hengameh Mirzaalian Dastjerdi},
  year={2014}
}
  • Hengameh Mirzaalian Dastjerdi
  • Published 2014
  • Medicine
  • We propose image-based automatic pigmented skin lesion (PSL) tracking and classification systems for early skin cancer detection. The input to our PSL tracking system is a pair of skin back images of the same subject. The output is the correspondence (matching) between the detected lesions and the identification of newly appearing (or disappearing) ones. We start by automatically detecting a set of anatomical landmarks by globally optimizing a pictorial structure. The detected landmarks are… CONTINUE READING
    1 Citations
    Input space augmentation for skin lesion segmentation in dermoscopic images
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