Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.

Peijun HuFa WuJialin PengYuanyuan BaoFeng ChenDexing Kong

Published in: International journal of computer assisted radiology and surgery (2016)

A fully automatic method for multi-organ segmentation from abdominal CT images was developed and evaluated. The results demonstrated its potential in clinical usage with high effectiveness, robustness and efficiency.

Keyphrases

convolutional neural network
deep learning
machine learning
randomized controlled trial
computed tomography
systematic review
image quality
magnetic resonance imaging
contrast enhanced
dual energy
positron emission tomography