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

. 2017 Oct 16;7:13190. doi: 10.1038/s41598-017-13196-4

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

© The Author(s) 2017

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

Vascular area delineation in H&E stained slides using sequential, machine learning-based, 2-step vascular area classification approach. (A) Training of the first classification model: The original H&E image is processed into an endothelial nuclear mask based on hematoxylin staining and an eosin intensity image. The digital image of CD31 immunohistochemistry provides vascular annotation to train the vascular area classifier. (B) The second classifier outputs a vascular area mask (VAM) where vascular areas are white, and non-vascular areas are black. (C) Receiver Operating Characteristic (ROC) curve for vascular area classification compared to the vascular annotation provided by CD31 immunohistochemistry (AUC = 0.78). (D) Post-processing of the VAM.