Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision

Abdul Qayyum, Moona Mazher, Steven A. Niederer, Imran Razzak. Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision. In Yiming Xiao, Guanyu Yang, Shuang Song, editors, Lesion Segmentation in Surgical and Diagnostic Applications - MICCAI 2022 Challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings. Volume 13648 of Lecture Notes in Computer Science, pages 55-62, Springer, 2022. [doi]

@inproceedings{QayyumMNR22,
  title = {Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision},
  author = {Abdul Qayyum and Moona Mazher and Steven A. Niederer and Imran Razzak},
  year = {2022},
  doi = {10.1007/978-3-031-27324-7_7},
  url = {https://doi.org/10.1007/978-3-031-27324-7_7},
  researchr = {https://researchr.org/publication/QayyumMNR22},
  cites = {0},
  citedby = {0},
  pages = {55-62},
  booktitle = {Lesion Segmentation in Surgical and Diagnostic Applications - MICCAI 2022 Challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings},
  editor = {Yiming Xiao and Guanyu Yang and Shuang Song},
  volume = {13648},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-27324-7},
}