Technical Note: 3D localization of lung tumors on cone beam CT projections via a convolutional recurrent neural network.
Journal:
Medical physics
Published Date:
Jan 28, 2020
Abstract
PURPOSE: To design a convolutional recurrent neural network (CRNN) that calculates three-dimensional (3D) positions of lung tumors from continuously acquired cone beam computed tomography (CBCT) projections, and facilitates the sorting and reconstruction of 4D-CBCT images.