Real-time deep learning for tumor segmentation and tool tracking: development and validation of an AI navigation system in vacuum-assisted breast biopsy
Authors
Hang Sun (ORCID: https://orcid.org/0000-0002-3460-9354)
Xingai Ju
Qikun Guo
R. Ting (ORCID: https://orcid.org/0009-0003-8739-2800)
Jianchun Cui (ORCID: https://orcid.org/0000-0001-7432-5260)
Real-time deep learning for tumor segmentation and tool tracking: development and validation of an AI navigation system in vacuum-assisted breast biopsy
Hang Sun, Xingai Ju, Qikun Guo, R. Ting et al.
Journal
World Journal of Surgical Oncology
Topics
AI in cancer detection
article
Real-time deep learning for tumor segmentation and tool tracking: development and validation of an AI navigation system in vacuum-assisted breast biopsy
Hang Sun, Xingai Ju, Qikun Guo, R. Ting, Jianchun Cui, Hongjie Zhu, Jinrui Liu, Yihan Sun, Xiang Fei, Yunzhi Shen, Xinran Shao, Peng Sun, Qiushi Li, Hong Li, Yuxin Ma, Yuqing Wang
article en
Abstract
No abstract available for this paper.
Publication Tag
World Journal of Surgical OncologyVol. 23(1)
Institutions
Shenyang Ligong University (CN), Dalian Medical University (CN), Liaoning University of Traditional Chinese Medicine (CN), Liaoning Provincial People's Hospital (CN), First Hospital of China Medical University (CN), China Medical University (CN), Northeastern University (CN)
Funders
Chinese Academy of Sciences, China Medical University
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Real-time deep learning for tumor segmentation and tool tracking: development and validation of an AI navigation system in vacuum-assisted breast biopsy — Hang Sun, Xingai Ju, et al. · World Journal of Surgical Oncology (2025) | TGRS Research Map | TGRS