A combined classification and segmentation network, trained on synthetic endotracheal tubes overlaid on real chest X-rays and fine-tuned on self-selected real cases, detects ET tubes with 0.99 AUC.
In: Image Analysis for Moving Organ, Breast, and Thoracic Images, MICCAI
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
-
Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data
A combined classification and segmentation network, trained on synthetic endotracheal tubes overlaid on real chest X-rays and fine-tuned on self-selected real cases, detects ET tubes with 0.99 AUC.