Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography

被引:0
作者
Jo Ozaki
Tomoyuki Fujioka
Emi Yamaga
Atsushi Hayashi
Yu Kujiraoka
Tomoki Imokawa
Kanae Takahashi
Sayuri Okawa
Yuka Yashima
Mio Mori
Kazunori Kubota
Goshi Oda
Tsuyoshi Nakagawa
Ukihide Tateishi
机构
[1] Tokyo Medical and Dental University,Department of Diagnostic Radiology
[2] Dokkyo Medical University Saitama Medical Center,Department of Radiology
[3] Tokyo Medical and Dental University,Department of Surgery, Breast surgery
来源
Japanese Journal of Radiology | 2022年 / 40卷
关键词
Ultrasound; Breast cancer; Axillary lymph node metastases; Deep learning; Convolutional neural network;
D O I
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中图分类号
学科分类号
摘要
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页码:814 / 822
页数:8
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[21]  
Gweon HM(2020)Lymph node metastasis prediction from primary breast cancer US images using deep learning Radiology 294 19-undefined
[22]  
Kim H(2020)Radiomics for predicting axillary lymph node metastasis of breast cancer using ultrasound images: don't forget the peritumoral region Front Oncol 10 53-undefined
[23]  
Park YJ(2017)How many of the biopsy decisions taken at inexperienced breast radiology units were correct? J Breast Health 13 23-undefined
[24]  
Kim JA(undefined)undefined undefined undefined undefined-undefined
[25]  
Yasaka K(undefined)undefined undefined undefined undefined-undefined
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