Explainable fully automated CT scoring of interstitial lung disease for patients suspected of systemic sclerosis by cascaded regression neural networks and its comparison with experts

Explainable fully automated CT scoring of interstitial lung disease for patients suspected of systemic sclerosis by cascaded regression neural networks and its comparison with experts

Abstract Visual scoring of interstitial lung disease in systemic sclerosis (SSc-ILD) from CT scans is laborious, subjective and time-consuming. This study aims to develop a deep learning framework to automate SSc-ILD scoring. The automated framework is a cascade of two neural networks. The first net...

Full description

Saved in:
Bibliographic Details
Main Authors: Jingnan Jia, Irene Hernández-Girón, Anne A. Schouffoer, Jeska K. de Vries-Bouwstra, Maarten K. Ninaber, Julie C. Korving, Marius Staring, Lucia J. M. Kroft, Berend C. Stoel
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-78393-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items