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

. 2022 Apr 6;12:5767. doi: 10.1038/s41598-022-09719-3

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

© The Author(s) 2022

Open Access This 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

Saliency maps highlighting where the network focus when predicting age (1) and global cognition (2). Column (a) is the input image, (b) is the saliency map and (c) is the overlap of (a) and (b). The pink regions on the saliency maps are the one having influence in making the prediction while blue regions had lower importance. Highlighted regions were noted from 100 randomly selected images. For global cognition, the ONH was highlighted in 94% of sampled images, the background was highlighted in 44% of images, the vessels were highlighted in none of the images (0%) and non-specific regions (non-specific feature, edge of retinal scans, etc.) were highlighted in 24% of images. Regarding age, the ONH was highlighted in 1% of images, the background was highlighted in 2% of images, the vessels were highlighted in 89% of the images and non-specific regions were highlighted in 9% of images.