Real-time deep learning for tumor segmentation and tool tracking: development and validation of an AI navigation system in vacuum-assisted breast biopsy

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Publication Details

Journal
World Journal of Surgical Oncology
Published
2025-11-13
DOI
https://doi.org/10.1186/s12957-025-04087-4
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00

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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 et al.
World Journal of Surgical Oncology
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.
World Journal of Surgical OncologyVol. 23(1)
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)
Chinese Academy of Sciences, China Medical University
Openalex Percentile: Top 82%
AI in cancer detection
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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