Nth Slice Eraser: An Automated Algorithm to Ease Editing Workflow of Organ Contours Generated by Artificial Intelligence
Year: 2024
Type: article
Abstract: The time-consuming process of manual contouring of healthy tissue and organs in radiation therapy has prompted the development of computational systems to aid and automate this process, such as artificial intelligence (AI) segmentation and interpolation algorithms. These algorithms are useful in saving time, however, they are not always accurate. Fixing such inaccuracies by editing contours is a manual, time-consuming process as no 'undo' feature currently exists in the most commonly used treatment planning system (TPS). In this short technical report, we present our script for automated de-interpolation to enable faster editing of contours to streamline the adoption of AI-assisted methodologies to enhance clinical workflow.
Source: Cureus
DOI: 10.7759/cureus.73640
Authors: Arjun Karnwal, Brittney Chau, Blake Chang, Marios P Tsotras, Colin Yeo, Arthur J Olch, Kenneth Wong
Institutions: University of Southern California, Stanford University
Language: English
Subfield: Radiation
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: diamond
Funder: National Cancer Institute
Award: G434192171
OpenAlex ID: W4404364912