Evaluating a Fully Automated Pulmonary Nodule Detection Approach and Its Impact on Radiologist Performance-Reference-Cited by-同舟云学术

Evaluating a Fully Automated Pulmonary Nodule Detection Approach and Its Impact on Radiologist Performance

Published:2019-05 Issue:3 Volume:1 Page:e180084
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Liu Kai¹,Li Qiong¹,Ma Jiechao¹^ORCID,Zhou Zijian¹^ORCID,Sun Mengmeng¹,Deng Yufeng¹^ORCID,Tu Wenting¹^ORCID,Wang Yun¹,Fan Li¹^ORCID,Xia Chen¹,Xiao Yi¹,Zhang Rongguo¹^ORCID,Liu Shiyuan¹

Affiliation:

1. From the Department of Radiology, Changzheng Hospital, Second Military Medical University, 415 Fengyang Rd, Shanghai, China 20003 (K.L., Q.L., W.T., Y.W., L.F., Y.X., S.L.); and Infervision Advanced Institute, Beijing, China (J.M., Z.Z., M.S., Y.D., C.X., R.Z.).

Funder

Shanghai Technology Committee Research Program

Shanghai Hygiene Committee Intelligence Medical Research Program

Publisher

Radiological Society of North America (RSNA)

Subject

General Medicine

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2019180084

Reference27 articles.

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