Rethinking automatic segmentation of gross target volume from a decoupling perspective

分类与摘要

聚焦医学影像分割、诊断或数据选择，体现 AI 方法在临床相关任务中的应用。

证据摘录：a, Ziqi Zhua, Hongyu Kana, Hong Ana,b,∗, Xudong Xue c, Bing Yand a School of Computer Science and Technology, University of Science and Technology of China, Hefei, 230026, China b Laoshan Laboratory Qingdao, Qindao, 266221, China c Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430074, China d Department of radiation oncology, The First Affiliated Hospital of US || a, Ziqi Zhua, Hongyu Kana, Hong Ana,b,∗, Xudong Xue c, Bing Yand a School of Computer Science and Technology, University of Science and Technology of China, Hefei, 230026, China b Laoshan Laboratory Qingdao, Qindao, 266221, China c Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430074, China d Department of radiation oncology, The First Affiliated Hos || ral Universities, China (GrantsNo. YD2150002001), National Key Research and Development Program of China, China (GrantsNo. 2016YFB1000403) and Laoshan Laboratory, China (GrantsNo. LSKJ202300305). References Chen, L., Bentley, P., Mori, K., Misawa, K., Fujiwara, M., Rueckert, D., 2018a. DRINet for medical image segmentation. IEEE Trans. Med. Imaging 37 (11), 2453–2462, URL: https://doi.org/10.1109/tmi.2018.2835 || ral Universities, China (GrantsNo. YD2150002001), National Key Research and Development Program of China, China (GrantsNo. 2016YFB1000403) and Laoshan Laboratory, China (GrantsNo. LSKJ202300305). References Chen, L., Bentley, P., Mori, K., Misawa, K., Fujiwara, M., Rueckert, D., 2018a. DRINet for medical image segmentation. IEEE Trans. Med. Imaging 37 (11), 2453–2462, URL: https://doi.org/10.1109/tmi.

引用

Jun Shi, Zhaohui Wang, Shulan Ruan, Minfan Zhao, et al. Rethinking Automatic Segmentation of Gross Target Volume from a Decoupling Perspective, Computerized Medical Imaging and Graphics (CMIG‘24) (SCI Q1，IF=5.7)

@article{acsand_35,
  title = {Rethinking automatic segmentation of gross target volume from a decoupling perspective},
  year = {},
  doi = {10.1016/j.compmedimag.2023.102323}
}