Development of Ground Truth Data for Automatic Lumbar Spine MRI Image Segmentation

Friska Natalia, Hira Meidia, Nunik Afriliana, Ala S. Al Kafri, Sud Sudirman, Andrew Simpson, Ali Sophian, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi. Development of Ground Truth Data for Automatic Lumbar Spine MRI Image Segmentation. In 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, Exeter, United Kingdom, June 28-30, 2018. pages 1449-1454, IEEE, 2018. [doi]

@inproceedings{NataliaMAKSSSAA18,
  title = {Development of Ground Truth Data for Automatic Lumbar Spine MRI Image Segmentation},
  author = {Friska Natalia and Hira Meidia and Nunik Afriliana and Ala S. Al Kafri and Sud Sudirman and Andrew Simpson and Ali Sophian and Mohammed Al-Jumaily and Wasfi Al-Rashdan and Mohammad Bashtawi},
  year = {2018},
  doi = {10.1109/HPCC/SmartCity/DSS.2018.00239},
  url = {https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00239},
  researchr = {https://researchr.org/publication/NataliaMAKSSSAA18},
  cites = {0},
  citedby = {0},
  pages = {1449-1454},
  booktitle = {20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, Exeter, United Kingdom, June 28-30, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-6614-2},
}