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Endotracheal Tube Detection and Segmentation in Chest Radiographs using
  Synthetic Data

Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data

20 August 2019
Maayan Frid-Adar
Rula Amer
H. Greenspan
    MedIm
ArXivPDFHTML

Papers citing "Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data"

3 / 3 papers shown
Title
Physiology-based simulation of the retinal vasculature enables
  annotation-free segmentation of OCT angiographs
Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs
M. Menten
Johannes C. Paetzold
Alina F. Dima
Bjoern H. Menze
B. Knier
Daniel Rueckert
30
15
0
22 Jul 2022
Deep Learning for Chest X-ray Analysis: A Survey
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
24
317
0
15 Mar 2021
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical
  Imaging
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging
I. Sirazitdinov
H. Schulz
A. Saalbach
S. Renisch
Dmitry Dylov
MedIm
34
2
0
02 Oct 2020
1