Multitask Deep Learning-Based Whole-Process System for Automatic Diagnosis of Breast Lesions and Axillary Lymph Node Metastasis Discrimination from Dynamic Contrast-Enhanced-MRI: A Multicenter Study.
Multitask Deep Learning-Based Whole-Process System for Automatic Diagnosis of Breast Lesions and Axillary Lymph Node Metastasis Discrimination from Dynamic Contrast-Enhanced-MRI: A Multicenter Study.
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DOI：
10.1002/jmri.28913
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发表时间：
2023-07
影响因子：
4.4
通讯作者：
Heng Zhou;Zhen Hua;Jing Gao;Fan Lin;Yuqian Chen;S. Zhang;T. Zheng;Zhongyi Wang;Huafei Shao;Wenjuan Li;Feng-yan Liu;Qin Li;Jingjing Chen;Ximing Wang;Feng Zhao;Nina Qu;H. Xie;Heng Ma;Haicheng Zhang;N. Mao
中科院分区：
文献类型：
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作者：
Heng Zhou;Zhen Hua;Jing Gao;Fan Lin;Yuqian Chen;S. Zhang;T. Zheng;Zhongyi Wang;Huafei Shao;Wenjuan Li;Feng-yan Liu;Qin Li;Jingjing Chen;Ximing Wang;Feng Zhao;Nina Qu;H. Xie;Heng Ma;Haicheng Zhang;N. Mao
乳腺病变的准确诊断和腋窝淋巴结（ALN）转移的鉴别在很大程度上依赖于放射科医生的经验。
Accurate diagnosis of breast lesions and discrimination of axillary lymph node (ALN) metastases largely depend on radiologist experience.