Deep learning tools for the cancer clinic: an open-source framework with head and neck contour validation.

ABSTRACT:

Background

With the rapid growth of deep learning research for medical applications comes the need for clinical personnel to be comfortable and familiar with these techniques. Taking a proven approach, we developed a straightforward open-source framework for producing automatic contours for head and neck planning computed tomography studies using a convolutional neural network (CNN).

Methods

Anonymized studies of 229 patients treated at our clinic for head and neck cancer from 2014 to 2018 were used to train and validate the network. We trained a separate CNN iteration for each of 11 common organs at risk, and then used data from 19 patients previously set aside as test cases for evaluation. We used a commercial atlas-based automatic contouring tool as a comparative benchmar

SUBMITTER: Asbach JC 

PROVIDER: S-EPMC8822676 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature