Login / Signup
Fine-tuned feature selection to improve prostate segmentation via a fully connected meta-learner architecture.
Dimitris Zaridis
Eugenia Mylona
Nikolaos S. Tachos
Kostas Marias
Manolis Tsiknakis
Dimitios I. Fotiadis
Published in:
BHI (2022)
Keyphrases
</>
fine tuned
fully connected
feature selection
prostate segmentation
fine tuning
machine learning
image guided radiotherapy
bayesian networks
domain specific
feature extraction
feature space
feature set
automatic segmentation