Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

@inproceedings{Yang2017SuggestiveAA,
  title={Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation},
  author={Lin Yang and Yizhe Zhang and Jianxu Chen and Siyuan Zhang and Danny Ziyi Chen},
  booktitle={MICCAI},
  year={2017}
}
Image segmentation is a fundamental problem in biomedical image analysis. Recent advances in deep learning have achieved promising results on many biomedical image segmentation benchmarks. However, due to large variations in biomedical images (different modalities, image settings, objects, noise, etc), to utilize deep learning on a new application, it usually needs a new set of training data. This can incur a great deal of annotation effort and cost, because only biomedical experts can annotate… CONTINUE READING
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