Deep learning kidney segmentation with very limited training data using a cascaded convolution neural network.
Journal:
PloS one
Published Date:
May 9, 2022
Abstract
BACKGROUND: Deep learning segmentation requires large datasets with ground truth. Image annotation is time consuming and leads to shortages of ground truth data for clinical imaging. This study is to investigate the feasibility of kidney segmentation using deep learning convolution neural network (CNN) models trained with MR images from only a few subjects.