Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non–Small Cell Lung Cancer on FDG PET Images-Reference-Cited by-同舟云学术

Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non–Small Cell Lung Cancer on FDG PET Images

Published:2020-07 Issue:1 Volume:215 Page:192-197
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Tau Noam¹²,Stundzia Audrius¹,Yasufuku Kazuhiro³,Hussey Douglas¹,Metser Ur¹

Affiliation:

1. Joint Department of Medical Imaging, Princess Margaret Cancer Centre, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, 610 University Ave, Ste 3-960, Toronto, ON M5G 2M9, Canada

2. Department of Radiology, Sheba Medical Center, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel

3. Division of Thoracic Surgery, Toronto General Hospital, University of Toronto, Toronto, ON, Canada

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.19.22346

Reference28 articles.

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5. The role of mediastinoscopic biopsy in preoperative assessment of lung cancer

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