Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Corporate & Special Sales
    • Journal Claims
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Permissions
    • Advertisers
    • Continuing Education
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Corporate & Special Sales
    • Journal Claims
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Permissions
    • Advertisers
    • Continuing Education
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • Follow JNM on Twitter
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Subscribe to our RSS feeds
Meeting ReportInstrumentation & Data Analysis Track

Deep learning for classification of benign and malignant bone lesions in [F-18]NaF PET/CT images.

Tyler Bradshaw, Timothy Perk, Song Chen, Hyung-Jun Im, Steve Cho, Scott Perlman and Robert Jeraj
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 327;
Tyler Bradshaw
3University of Wisconsin - Madison Madison WI United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Timothy Perk
6Medical Physics University of Wisconsin- Madison Madison WI United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Song Chen
11st Hospital of China Medical University Shenyang China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hyung-Jun Im
7WCU, Seoul National University Seoul
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steve Cho
4Radiology University of Wisconsin - Madison Madison WI United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Scott Perlman
5University of Wisconsin Hospital and Clinics Madison WI United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert Jeraj
2University of Wisconsin Madison WI United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Info & Metrics
Loading

Article Information

vol. 59 no. supplement 1 327

Published By 
Society of Nuclear Medicine
Print ISSN 
0161-5505
Online ISSN 
2159-662X
History 
  • Published online May 23, 2018.

Copyright & Usage 
© 2018

Author Information

  1. Tyler Bradshaw3,
  2. Timothy Perk6,
  3. Song Chen1,
  4. Hyung-Jun Im7,
  5. Steve Cho4,
  6. Scott Perlman5 and
  7. Robert Jeraj2
  1. 11st Hospital of China Medical University Shenyang China
  2. 2University of Wisconsin Madison WI United States
  3. 3University of Wisconsin - Madison Madison WI United States
  4. 4Radiology University of Wisconsin - Madison Madison WI United States
  5. 5University of Wisconsin Hospital and Clinics Madison WI United States
  6. 6Medical Physics University of Wisconsin- Madison Madison WI United States
  7. 7WCU, Seoul National University Seoul

Statistics from Altmetric.com

Cited By...

  • Citations
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

Article usage

Article usage: May 2018 to January 2023

AbstractFullPdf
May 2018600
Jun 20186300
Jul 20185500
Aug 20185400
Sep 20183500
Oct 20186300
Nov 20185100
Dec 20183300
Jan 20199200
Feb 20197000
Mar 201911700
Apr 20197800
May 201912300
Jun 20195000
Jul 201913700
Aug 20192500
Sep 20192400
Oct 20194200
Nov 20194300
Dec 20195000
Jan 20201700
Feb 20202800
Mar 20203000
Apr 20204100
May 20203500
Jun 20204100
Jul 20202800
Aug 20204800
Sep 20203800
Oct 20202600
Nov 20202300
Dec 20204100
Jan 20213800
Feb 20213700
Mar 20213400
Apr 20212900
May 20213300
Jun 20213700
Jul 20217000
Aug 20219500
Sep 20213500
Oct 20213500
Nov 20217300
Dec 20216600
Jan 20227900
Feb 20223200
Mar 20222600
Apr 20222400
May 20224500
Jun 20222000
Jul 2022800
Aug 20221100
Sep 20221000
Oct 20222200
Nov 20222000
Dec 2022700
Jan 20231300
Previous
Back to top

In this issue

Journal of Nuclear Medicine
Vol. 59, Issue supplement 1
May 1, 2018
  • Table of Contents
  • Index by author
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Deep learning for classification of benign and malignant bone lesions in [F-18]NaF PET/CT images.
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Deep learning for classification of benign and malignant bone lesions in [F-18]NaF PET/CT images.
Tyler Bradshaw, Timothy Perk, Song Chen, Hyung-Jun Im, Steve Cho, Scott Perlman, Robert Jeraj
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 327;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Deep learning for classification of benign and malignant bone lesions in [F-18]NaF PET/CT images.
Tyler Bradshaw, Timothy Perk, Song Chen, Hyung-Jun Im, Steve Cho, Scott Perlman, Robert Jeraj
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 327;
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
  • Info & Metrics

Related Articles

  • No related articles found.
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

Instrumentation & Data Analysis Track

  • Deep Learning Based Kidney Segmentation for Glomerular Filtration Rate Measurement Using Quantitative SPECT/CT
  • The Benefit of Time-of-Flight in Digital Photon Counting PET Imaging: Physics and Clinical Evaluation
  • Preclinical validation of a single-scan rest/stress imaging technique for 13NH3 cardiac perfusion studies
Show more Instrumentation & Data Analysis Track

Deep Learning in Oncology PET Imaging

  • Strategy to develop convolutional neural network-based classifier for diagnosis of whole-body FDG PET images
  • Automatic Lesion Detection and Segmentation of 18FET PET in gliomas : A Full 3D U-Net Convolutional Neural Network Study.
Show more Deep Learning in Oncology PET Imaging

Similar Articles

SNMMI

© 2023 Journal of Nuclear Medicine

Powered by HighWire