"Machine learning assisted DSC-MRI radiomics as a tool for glioma ..."

Carole H. Sudre et al. (2020)

> Home

Details and statistics

DOI: 10.1186/S12911-020-01163-5

access: open

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/midm/SudrePSBKSPGSAS20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/midm/SudrePSBKSPGSAS20
Carole H. Sudre, Jasmina Panovska, Eser Sanverdi, Sebastian Brandner, Vasileios K. Katsaros, George Stranjalis, Francesca B. Pizzini, Claudio Ghimenton, Katarina Surlan-Popovic, Jernej Avsenik, Maria Vittoria Spampinato, Mario Nigro, Arindam R. Chatterjee, Arnaud Attye, Sylvie Grand, Alexandre Krainik, Nicoletta Anzalone, Gian Marco Conte, Valeria Romeo, Lorenzo Ugga, Andrea Elefante, Elisa Francesca Ciceri, Elia Guadagno, Eftychia E. Kapsalaki, Diana Röttger, Javier Gonzalez-Zabaleta, Timothé Boutelier, M. Jorge Cardoso, Sotirios Bisdas:
Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. BMC Medical Informatics Decis. Mak. 20(1): 149 (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.