Uniqueness-Driven Saliency Analysis for Automated Lesion Detection with Applications to Retinal Diseases

Yitian Zhao, Yalin Zheng, Yifan Zhao, Yonghuai Liu, Zhili Chen, Peng Liu, Jiang Liu. Uniqueness-Driven Saliency Analysis for Automated Lesion Detection with Applications to Retinal Diseases. In Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II. Volume 11071 of Lecture Notes in Computer Science, pages 109-118, Springer, 2018. [doi]

@inproceedings{ZhaoZZLCLL18,
  title = {Uniqueness-Driven Saliency Analysis for Automated Lesion Detection with Applications to Retinal Diseases},
  author = {Yitian Zhao and Yalin Zheng and Yifan Zhao and Yonghuai Liu and Zhili Chen and Peng Liu and Jiang Liu},
  year = {2018},
  doi = {10.1007/978-3-030-00934-2_13},
  url = {https://doi.org/10.1007/978-3-030-00934-2_13},
  researchr = {https://researchr.org/publication/ZhaoZZLCLL18},
  cites = {0},
  citedby = {0},
  pages = {109-118},
  booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II},
  editor = {Alejandro F. Frangi and Julia A. Schnabel and Christos Davatzikos and Carlos Alberola-López and Gabor Fichtinger},
  volume = {11071},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-00934-2},
}