Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks

@article{Bi2017DermoscopicIS,
  title={Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks},
  author={Lei Bi and Jinman Kim and Euijoon Ahn and Ashnil Kumar and Michael J. Fulham and David Dagan Feng},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2017},
  volume={64},
  pages={2065-2074}
}
Objective: Segmentation of skin lesions is an important step in the automated computer aided diagnosis of melanoma. However, existing segmentation methods have a tendency to over- or under-segment the lesions and perform poorly when the lesions have fuzzy boundaries, low contrast with the background, inhomogeneous textures, or contain artifacts. Furthermore, the performance of these methods are heavily reliant on the appropriate tuning of a large number of parameters as well as the use of… CONTINUE READING
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