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
  • My Cart

Search

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

Strategy to develop convolutional neural network-based classifier for diagnosis of whole-body FDG PET images

Keisuke Kawauchi, Kenji Hirata, Seiya Ichikawa, Osamu Manabe, Kentaro Kobayashi, Shiro Watanabe, Miki Haseyama, Takahiro Ogawa, Ren Togo, Tohru Shiga and Chietsugu Katoh
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 326;
Keisuke Kawauchi
2Graduate School of Biomedical Science and Engineering, Hokkaido University Sapporo Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kenji Hirata
1Department of Nuclear Medicine, Hokkaido University Sapporo Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Seiya Ichikawa
2Graduate School of Biomedical Science and Engineering, Hokkaido University Sapporo Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Osamu Manabe
1Department of Nuclear Medicine, Hokkaido University Sapporo Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kentaro Kobayashi
1Department of Nuclear Medicine, Hokkaido University Sapporo Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shiro Watanabe
1Department of Nuclear Medicine, Hokkaido University Sapporo Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Miki Haseyama
3Graduate School of Information Science and Technology, Hokkaido University Sapporo Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Takahiro Ogawa
3Graduate School of Information Science and Technology, Hokkaido University Sapporo Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ren Togo
3Graduate School of Information Science and Technology, Hokkaido University Sapporo Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tohru Shiga
1Department of Nuclear Medicine, Hokkaido University Sapporo Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chietsugu Katoh
4Hokkaido University School of Medicine Sapporo Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
Loading

Article Information

vol. 59 no. supplement 1 326

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. Keisuke Kawauchi2,
  2. Kenji Hirata1,
  3. Seiya Ichikawa2,
  4. Osamu Manabe1,
  5. Kentaro Kobayashi1,
  6. Shiro Watanabe1,
  7. Miki Haseyama3,
  8. Takahiro Ogawa3,
  9. Ren Togo3,
  10. Tohru Shiga1 and
  11. Chietsugu Katoh4
  1. 1Department of Nuclear Medicine, Hokkaido University Sapporo Japan
  2. 2Graduate School of Biomedical Science and Engineering, Hokkaido University Sapporo Japan
  3. 3Graduate School of Information Science and Technology, Hokkaido University Sapporo Japan
  4. 4Hokkaido University School of Medicine Sapporo Japan

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 December 2022

AbstractFullPdf
May 20182000
Jun 20185200
Jul 20185500
Aug 20183200
Sep 20181500
Oct 20184400
Nov 20185700
Dec 20183300
Jan 20196700
Feb 20193800
Mar 20194400
Apr 20193800
May 20191700
Jun 20193100
Jul 20196600
Aug 20193800
Sep 20191100
Oct 20192200
Nov 20193000
Dec 20191300
Jan 2020700
Feb 20201000
Mar 20202300
Apr 20202200
May 2020900
Jun 2020100
Jul 20201300
Aug 20201900
Sep 20202700
Oct 20201800
Nov 20202100
Dec 20202700
Jan 2021300
Feb 20211100
Mar 20211000
Apr 20211100
May 20211300
Jun 2021800
Jul 20211600
Aug 20213900
Sep 20211300
Oct 20211500
Nov 20217600
Dec 20214000
Jan 20226600
Feb 20222200
Mar 20222200
Apr 20221400
May 20222500
Jun 2022600
Jul 2022400
Aug 2022600
Sep 2022800
Oct 2022700
Nov 2022400
Dec 2022600
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.
Strategy to develop convolutional neural network-based classifier for diagnosis of whole-body FDG PET 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
Strategy to develop convolutional neural network-based classifier for diagnosis of whole-body FDG PET images
Keisuke Kawauchi, Kenji Hirata, Seiya Ichikawa, Osamu Manabe, Kentaro Kobayashi, Shiro Watanabe, Miki Haseyama, Takahiro Ogawa, Ren Togo, Tohru Shiga, Chietsugu Katoh
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 326;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Strategy to develop convolutional neural network-based classifier for diagnosis of whole-body FDG PET images
Keisuke Kawauchi, Kenji Hirata, Seiya Ichikawa, Osamu Manabe, Kentaro Kobayashi, Shiro Watanabe, Miki Haseyama, Takahiro Ogawa, Ren Togo, Tohru Shiga, Chietsugu Katoh
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 326;
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
  • Figures & Data
  • 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

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