Analysis of false reasons based on the artificial intelligence RRCART model to identify frozen sections of lymph nodes in breast cancer

• Main Authors: Zuxuan Zhao (Author), Cancan Chen (Author), Hanwen Guan (Author), Lei Guo (Author), Wanxin Tian (Author), Xiaoqi Liu (Author), Huijuan Zhang (Author), Jiangtao Li (Author), Tinglin Qiu (Author), Jun Du (Author), Qiang Guo (Author), Fenglong Sun (Author), Shan Zheng (Author), Jianhui Ma (Author)
• Format: Book
• Published: BMC, 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Breast cancer is the most common malignant tumor in the world. Intraoperative frozen section of sentinel lymph nodes is an important basis for determining whether axillary lymph node dissection is required for breast cancer surgery. We propose an RRCART model based on a deep-lear...