Radiologists with assistance of deep learning can achieve overall accuracy of benign-malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature

Keyang Zhao, Xiaozhong Zhu, Mingzi Zhang, Zhaozhi Xie, Xu Yan, Sheng-Hui Wu, Peng Liao, Hongtao Lu, Wei Shen 0002, Chicheng Fu, Haoyang Cui, Chuan He, Qu Fang, Jiong Mei. Radiologists with assistance of deep learning can achieve overall accuracy of benign-malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature. Int. J. Computer Assisted Radiology and Surgery, 18(8):1451-1458, 2023. [doi]

@article{ZhaoZZXYWLL0FCH23,
  title = {Radiologists with assistance of deep learning can achieve overall accuracy of benign-malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature},
  author = {Keyang Zhao and Xiaozhong Zhu and Mingzi Zhang and Zhaozhi Xie and Xu Yan and Sheng-Hui Wu and Peng Liao and Hongtao Lu and Wei Shen 0002 and Chicheng Fu and Haoyang Cui and Chuan He and Qu Fang and Jiong Mei},
  year = {2023},
  doi = {10.1007/s11548-023-02838-w},
  url = {https://doi.org/10.1007/s11548-023-02838-w},
  researchr = {https://researchr.org/publication/ZhaoZZXYWLL0FCH23},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Computer Assisted Radiology and Surgery},
  volume = {18},
  number = {8},
  pages = {1451-1458},
}