Artificial intelligence-based technology for semi-automated segmentation of rectal cancer using high-resolution MRI.

Atsushi HamabeMasayuki IshiiRena KamodaSaeko SasugaKoichi OkuyaKenji OkitaEmi AkizukiYu SatoRyo MiuraKoichi OnoderaMasamitsu HatakenakaIchiro Takemasa

Published in: PloS one (2022)

This algorithm can provide objective analysis of MR images at any institution, and aid risk stratification in rectal cancer and the tailoring of individual treatments. Moreover, it can be used for surgical simulations.

Keyphrases

deep learning
artificial intelligence
rectal cancer
convolutional neural network
high resolution
locally advanced
contrast enhanced
machine learning
big data
magnetic resonance imaging
magnetic resonance
molecular dynamics
computed tomography
mass spectrometry
squamous cell carcinoma
monte carlo
radiation therapy