High sensitivity in spontaneous intracranial hemorrhage detection from emergency head CT scans using ensemble-learning approach

High sensitivity in spontaneous intracranial hemorrhage detection from emergency head CT scans using ensemble-learning approach

Abstract Spontaneous intracranial hemorrhages have a high disease burden. Due to increasing medical imaging, new technological solutions for assisting in image interpretation are warranted. We developed a deep learning (DL) solution for spontaneous intracranial hemorrhage detection from head CT scan...

Full description

Saved in:
Bibliographic Details
Main Authors: Juuso Takala, Heikki Peura, Riku Pirinen, Katri Väätäinen, Sergei Terjajev, Ziyuan Lin, Rahul Raj, Miikka Korja
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Intracranial hemorrhage
Tomography, computed
Deep learning
Ensemble learning
Convolutional neural networks
Online Access:https://doi.org/10.1038/s41598-025-15835-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-15835-7

Similar Items