Fusing fine-tuned deep features for skin lesion classification

@article{Mahbod2019FusingFD,
  title={Fusing fine-tuned deep features for skin lesion classification},
  author={Amirreza Mahbod and G. Schaefer and I. Ellinger and R. Ecker and A. Pitiot and Chunliang Wang},
  journal={Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society},
  year={2019},
  volume={71},
  pages={
          19-29
        }
}
  • Amirreza Mahbod, G. Schaefer, +3 authors Chunliang Wang
  • Published 2019
  • Computer Science, Medicine
  • Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Malignant melanoma is one of the most aggressive forms of skin cancer. Early detection is important as it significantly improves survival rates. Consequently, accurate discrimination of malignant skin lesions from benign lesions such as seborrheic keratoses or benign nevi is crucial, while accurate computerised classification of skin lesion images is of great interest to support diagnosis. In this paper, we propose a fully automatic computerised method to classify skin lesions from dermoscopic… Expand
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