Tubular shape aware data generation for segmentation in medical imaging.

Ilyas SirazitdinovHeinrich SchulzAxel SaalbachSteffen RenischDmitry V Dylov

Published in: International journal of computer assisted radiology and surgery (2022)

We report the applicability of the approach for the task of segmenting tubes and catheters in the X-ray images, whereas the results should also hold for the other acquisition modalities and image computing applications that contain tubular objects.

Keyphrases

deep learning
high resolution
convolutional neural network
artificial intelligence
high glucose
big data
healthcare
electronic health record
machine learning
endothelial cells
computed tomography
magnetic resonance
fluorescence imaging
photodynamic therapy