Brain Tumor Segmentation Using Dense Channels 2D U-net and Multiple Feature Extraction Network

Wei Shi, Enshuai Pang, Qiang Wu 0009, Fengming Lin. Brain Tumor Segmentation Using Dense Channels 2D U-net and Multiple Feature Extraction Network. In Alessandro Crimi, Spyridon Bakas, editors, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part I. Volume 11992 of Lecture Notes in Computer Science, pages 273-283, Springer, 2019. [doi]

@inproceedings{ShiPWL19,
  title = {Brain Tumor Segmentation Using Dense Channels 2D U-net and Multiple Feature Extraction Network},
  author = {Wei Shi and Enshuai Pang and Qiang Wu 0009 and Fengming Lin},
  year = {2019},
  doi = {10.1007/978-3-030-46640-4_26},
  url = {https://doi.org/10.1007/978-3-030-46640-4_26},
  researchr = {https://researchr.org/publication/ShiPWL19},
  cites = {0},
  citedby = {0},
  pages = {273-283},
  booktitle = {Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part I},
  editor = {Alessandro Crimi and Spyridon Bakas},
  volume = {11992},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-46640-4},
}