Development of in-house fully residual deep convolutional neural network-based segmentation software for the male pelvic CT.

Hideaki HirashimaMitsuhiro NakamuraPascal BaillehacheYusuke FujimotoShota NakagawaYusuke SaruyaTatsumasa KabasawaTakashi Mizowaki

Published in: Radiation oncology (London, England) (2021)

We have developed a CNN-based segmentation software for the male pelvic region and demonstrated that the CNN-based segmentation software is efficient for the male pelvic region.

Keyphrases

image quality
convolutional neural network
deep learning
computed tomography
rectal cancer
data analysis
positron emission tomography
magnetic resonance
contrast enhanced