Markerless Pancreatic Tumor Target Localization Enabled By Deep Learning.

ABSTRACT:

Purpose

Deep learning is an emerging technique that allows us to capture imaging information beyond the visually recognizable level of a human being. Because of the anatomic characteristics and location, on-board target verification for radiation delivery to pancreatic tumors is a challenging task. Our goal was to use a deep neural network to localize the pancreatic tumor target on kV x-ray images acquired using an on-board imager for image guided radiation therapy.

Methods and materials

The network is set up in such a way that the input is either a digitally reconstructed radiograph image or a monoscopic x-ray projection image acquired by the on-board imager from a given direction, and the output is the location of the planning target volume in the projection image. To prod

SUBMITTER: Zhao W 

PROVIDER: S-EPMC6732032 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature