3D Automatic Brain Tumor Segmentation Using a Multiscale Input U-Net Network

S. Rosas González, Taibou Birgui Sekou, Moncef Hidane, Clovis Tauber. 3D Automatic Brain Tumor Segmentation Using a Multiscale Input U-Net 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 II. Volume 11993 of Lecture Notes in Computer Science, pages 113-123, Springer, 2019. [doi]

@inproceedings{GonzalezSHT19,
  title = {3D Automatic Brain Tumor Segmentation Using a Multiscale Input U-Net Network},
  author = {S. Rosas González and Taibou Birgui Sekou and Moncef Hidane and Clovis Tauber},
  year = {2019},
  doi = {10.1007/978-3-030-46643-5_11},
  url = {https://doi.org/10.1007/978-3-030-46643-5_11},
  researchr = {https://researchr.org/publication/GonzalezSHT19},
  cites = {0},
  citedby = {0},
  pages = {113-123},
  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 II},
  editor = {Alessandro Crimi and Spyridon Bakas},
  volume = {11993},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-46643-5},
}