"Comparing the Performance of Radiation Oncologists versus a Deep Learning ..."

Amith Kamath et al. (2024)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2025-03-14

- view
  - electronic edition @ mlr.press (open access)
- export record
  dblp key:
  - conf/midl/KamathMPWERA024
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/midl/KamathMPWERA024
Amith Kamath, Zahira Maur, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Nicolaus Andratschke, Mauricio Reyes:
Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy. MIDL 2024: 742-753

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.