CT-based deep learning model to differentiate invasive pulmonary adenocarcinomas appearing as subsolid nodules among surgical candidates: comparison of the diagnostic performance with a size-based logistic model and radiologists

被引：0
|
作者：
Hyungjin Kim
Dongheon Lee
Woo Sang Cho
Jung Chan Lee
Jin Mo Goo
Hee Chan Kim
Chang Min Park
机构：
[1] Seoul National University College of Medicine,Department of Radiology, Seoul National University Hospital
[2] Seoul National University Medical Research Center,Institute of Radiation Medicine
[3] Seoul National University,Interdisciplinary Program in Bioengineering, Graduate School
[4] Seoul National University College of Medicine,Department of Biomedical Engineering
[5] Seoul National University,Institute of Medical & Biological Engineering, Medical Research Center
[6] Seoul National University,Cancer Research Institute
来源：
European Radiology | 2020年 / 30卷
关键词：
Adenocarcinoma; Multidetector computed tomography; Computer-assisted radiographic image interpretation; Artificial intelligence; Logistic model;
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：3295 / 3305
页数：10
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