换一批
换一批Use of a Commercially Available Deep Learning Algorithm to Measure the Solid Portions of Lung Cancer Manifesting as Subsolid Lesions at CT: Comparisons with Radiologists and Invasive Component Size at Pathologic Examination.
第一作者：
Yura,Ahn
第一单位：
From the Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43 Gil, Songpa-gu, Seoul 138-736, Korea.
作者：
主题词
腺癌(Adenocarcinoma);女(雌)性(Female);人类(Humans);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);肺肿瘤(Lung Neoplasms);男(雄)性(Male);中年人(Middle Aged);回顾性研究(Retrospective Studies);软件(Software);体层摄影术, X线计算机(Tomography, X-Ray Computed)
DOI
10.1148/radiol.2021202803
PMID
33529136
发布时间
2021-08-11
- 浏览2
Radiology
202-210页
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