AI-assisted Method for Efficiently Generating Breast Ultrasound Screening Reports.

导出 LinkOut

翻译打印收藏纠错

作者： Shuang,Ge ^[1] ; Qiongyu,Ye ^[2] ; Wenquan,Xie ^[1] ; Desheng,Sun ^[3] ; Huabin,Zhang ^[4] ; Xiaobo,Zhou ^[5] ; Kehong,Yuan ^[1]

作者单位： Graduate School at Shenzhen, Tsinghua University, Shenzhen, China. ^[1] Shenzhen City Baoan District Women's and Children's Hospital, Shenzhen, China. ^[2] Shenzhen Hospital of Peking University, Shenzhen, China. ^[3] Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China. ^[4] School of Biomedical Informatics, University of Texas Health Sciences Center at Houston, Houston TX 77030, USA. ^[5]

关键词 AI BI-RADS automatic classification breast cancer early screening feature report generation ultrasound

主题词女(雌)性(Female);人类(Humans);乳腺肿瘤(Breast Neoplasms);超声检查, 乳房(Ultrasonography, Mammary);超声检查(Ultrasonography);人工智能(Artificial Intelligence)

DOI 10.2174/1573405618666220329092537

PMID 35352651

发布时间 2023-03-21

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览2

Current medical imaging

2023年19卷2期

149-157页

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

AI-assisted Method for Efficiently Generating Breast Ultrasound Screening Reports.

Current medical imaging

相似文献

Current medical imaging

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

AI-assisted Method for Efficiently Generating Breast Ultrasound Screening Reports.

Current medical imaging

相似文献

Current medical imaging

相关期刊

检索历史清除