Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2020 Oct 9;10:16885. doi: 10.1038/s41598-020-73278-8

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

Genetic algorithm optimization of model parameters. (A) General process schematic for genetic algorithm parameter optimization. Moving from left to right, a feature variant is selected for each model feature to create individual networks (Step 1; individuals are highlighted in unique colors). Individuals are trained and evaluated to determine fitness and ranked accordingly (Step 2). Two networks are chosen from the fittest population and a new network is derived by selecting from feature variants in these two networks, and variants are occasionally mutated (i.e., randomly selected from the population pool; Step 3). (B) Model feature and respective feature variants explored in first phase of genetic algorithm optimization. Each column represents a model feature to be optimized and each row is a possible feature variant for the GA to select from. This table reflects the “Population Pool” (A). (C) Top-5 performing networks for independent CT and MRI networks after 10 generations of 100 solution populations; ranked according to test accuracy. (D) Top-5 performing networks for combined CT-MRI networks after 10 generations of 100 solution populations; ranked according to test accuracy.