Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images

Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images

Abstract Automated coronary angiography assessment requires precise vessel segmentation, a task complicated by uneven contrast filling and background noise. Our research introduces an ensemble U-Net model, SE-RegUNet, designed to accurately segment coronary vessels using 100 labeled angiographies fr...

Full description

Saved in:
Bibliographic Details
Main Authors: Shih-Sheng Chang, Ching-Ting Lin, Wei-Chun Wang, Kai-Cheng Hsu, Ya-Lun Wu, Chia-Hao Liu, Yang C. Fann
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-57198-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items