• Corpus ID: 254069545

Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation

@inproceedings{Liu2020Generalisable3F,
  title={Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation},
  author={Siyu Liu and Weiqun Dai and Craig B. Engstrom and Jurgen Fripp and Stuart Crozier and Jason A Dowling and Shekhar S. Chandra},
  year={2020}
}
Data scarcity is common in deep learning models for medical image segmentation. Previous works proposed multi-dataset learning, either simultaneously or via transfer learning to expand training sets. However, medical image datasets have diverse-sized images and features, and developing a model simultaneously for multiple datasets is challenging. This work proposes Fabric Image Representation Encoding Network (FIRENet), a universal 3D architecture for simultaneous multidataset segmentation and… 

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