Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach

Wongsakorn Preedanan, Kenji Suzuki, Toshiaki Kondo, Masaki Kobayashi, Hajime Tanaka, Junichiro Ishioka, Yoh Matsuoka, Yasuhisa Fujii, Itsuo Kumazawa. Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach. IEEE Access, 11:25702-25712, 2023. [doi]

@article{PreedananSKKTIMFK23,
  title = {Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach},
  author = {Wongsakorn Preedanan and Kenji Suzuki and Toshiaki Kondo and Masaki Kobayashi and Hajime Tanaka and Junichiro Ishioka and Yoh Matsuoka and Yasuhisa Fujii and Itsuo Kumazawa},
  year = {2023},
  doi = {10.1109/ACCESS.2023.3257049},
  url = {https://doi.org/10.1109/ACCESS.2023.3257049},
  researchr = {https://researchr.org/publication/PreedananSKKTIMFK23},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {11},
  pages = {25702-25712},
}