"A spatial neighborhood methodology for computing and analyzing lymph node ..."

Timothy Luciani et al. (2020)

> Home

Details and statistics

DOI: 10.1016/J.YJBINX.2020.100067

access: open

type: Journal Article

metadata version: 2024-02-05

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jbix/LucianiWEEMCVFM20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jbix/LucianiWEEMCVFM20
Timothy Luciani, Andrew Wentzel, Baher Elgohari, Hesham Elhalawani, Abdallah Sherif Radwan Mohamed, Guadalupe Canahuate, David M. Vock, Clifton D. Fuller, G. Elisabeta Marai:
A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine. J. Biomed. Informatics X 5: 100067 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.