Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs-Reference-Cited by-同舟云学术

Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs

Published:2020-10-30 Issue:5 Volume:31 Page:2866-2876
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Choi Hyewon,Kim Hyungjin^ORCID,Hong Wonju,Park Jongsoo,Hwang Eui Jin,Park Chang Min,Kim Young Tae,Goo Jin Mo

Funder

Ministry of Science and ICT, Republic of Korea

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-020-07431-2.pdf

Reference31 articles.

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5. Zhong C, Fang W, Mao T, Yao F, Chen W, Hu D (2012) Comparison of thoracoscopic segmentectomy and thoracoscopic lobectomy for small-sized stage IA lung cancer. Ann Thorac Surg 94:362–367

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