A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification

@article{Yang2017ANM,
  title={A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification},
  author={XuLei Yang and Zeng Zeng and Si Yong Yeo and Colin Tan and Hong Liang Tey and Yi Su},
  journal={CoRR},
  year={2017},
  volume={abs/1703.01025}
}
In this study, a multi-task deep neural network is proposed for skin lesion analysis. The proposed multi-task learning model solves different tasks (e.g., lesion segmentation and two independent binary lesion classifications) at the same time by exploiting commonalities and differences across tasks. This results in improved learning efficiency and potential prediction accuracy for the task-specific models, when compared to training the individual models separately. The proposed multi-task deep… CONTINUE READING
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