A chest X-ray segmentation model, a Feature Pyramid Network with instance normalization and Monte-Carlo dropout, estimates cardiothoracic ratio with uncertainty and is tested on four public datasets.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio
A chest X-ray segmentation model, a Feature Pyramid Network with instance normalization and Monte-Carlo dropout, estimates cardiothoracic ratio with uncertainty and is tested on four public datasets.