Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
January 27, 2017EJNMMI ResearchOpen Access

Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images

View Full Paper
Ask AI
Bookmark
Share

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

A 2017 study studied this question.

synapsesocial.com/papers/6a7cb4755de18cf3f8fab43ehttps://doi.org/10.1186/s13550-017-0260-9
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1PET-CT for assessing mediastinal lymph node involvement in patients with suspected resectable non-small cell lung cancer2014 · 252 citations
  2. 2Deep Residual Learning for Image Recognition2016 · 229,093 citations
  3. 3Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information2015 · 1,186 citations
  4. 4Going deeper with convolutions2015 · 47,403 citations