DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules-Reference-Cited by-同舟云学术

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Published:2020-09-06 Issue:11 Volume:47 Page:5953-5965
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Fedorov Andrey¹,Hancock Matthew²,Clunie David³,Brochhausen Mathias⁴,Bona Jonathan⁵,Kirby Justin⁶,Freymann John⁶,Pieper Steve⁷,J. W. L. Aerts Hugo¹,Kikinis Ron¹,Prior Fred⁵

Affiliation:

1. Brigham and Women’s Hospital Boston MA02115 USA

2. Florida State University Tallahassee FL32306 USA

3. PixelMed Publishing Bangor PA18013 USA

4. University of Florida Health Gainesville FL32605 USA

5. University of Arkansas for Medical Sciences Little Rock AR72205 USA

6. Frederick National Laboratory for Cancer Research Frederick MD21701 USA

7. Isomics Inc. Cambridge MA02138 USA

Funder

National Institutes of Health

Foundation for the National Institutes of Health

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14445

Reference49 articles.

1. Artificial intelligence in radiology

2. Role of Big Data and Machine Learning in Diagnostic Decision Support in Radiology

3. Lung Image Database Consortium: Developing a Resource for the Medical Imaging Research Community

4. The Lung Image Database Consortium (LIDC) Data Collection Process for Nodule Detection and Annotation

5. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

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