Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

@inproceedings{Wang2018InteractiveMI,
  title={Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning},
  author={Guotai Wang and Wenqi Li and Maria A. Zuluaga and Rosalind Pratt and Premal A. Patel and Michael Aertsen and Tom Doel and Anna L. David and Jan Deprest and S{\'e}bastien Ourselin and Tom Vercauteren},
  booktitle={IEEE Transactions on Medical Imaging},
  year={2018}
}
Convolutional neural networks (CNNs) have achieved state-of-the-art performance for automatic medical image segmentation. However, they have not demonstrated sufficiently accurate and robust results for clinical use. In addition, they are limited by the lack of image-specific adaptation and the lack of generalizability to previously unseen object classes (a.k.a. zero-shot learning). To address these problems, we propose a novel deep learning-based interactive segmentation framework by… CONTINUE READING

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