Spectroscopic and deep learning-based approaches to identify and quantify cerebral microhemorrhages

Spectroscopic and deep learning-based approaches to identify and quantify cerebral microhemorrhages

Abstract Cerebral microhemorrhages (CMHs) are associated with cerebrovascular disease, cognitive impairment, and normal aging. One method to study CMHs is to analyze histological sections (5–40 μm) stained with Prussian blue. Currently, users manually and subjectively identify and quantify Prussian...

Full description

Bibliographic Details
Main Authors: Christian Crouzet, Gwangjin Jeong, Rachel H. Chae, Krystal T. LoPresti, Cody E. Dunn, Danny F. Xie, Chiagoziem Agu, Chuo Fang, Ane C. F. Nunes, Wei Ling Lau, Sehwan Kim, David H. Cribbs, Mark Fisher, Bernard Choi
Format: Article
Language:English
Published: Nature Portfolio 2021-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-88236-1

Internet

https://doi.org/10.1038/s41598-021-88236-1

Similar Items