학술논문
Focal-Balanced Attention U-Net with Dynamic Thresholding by Spatial Regression for Segmentation of Aortic Dissection in CT Imagery
Document Type
Conference
Source
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) Biomedical Imaging (ISBI), 2021 IEEE 18th International Symposium on. :541-544 Apr, 2021
Subject
Language
ISSN
1945-8452
Abstract
An aortic dissection has been reported a mortality of 50% within the first 48 hours and an increase of 1-2% per hour. Therefore, rapid diagnosis of intimal flap would be very important for the emergency treatment of patients. In order to accurately present the affected part of AD and reduce the time for doctors to diagnose, image segmentation is the most effective way of presentation. We used the U-Net model in this study and focus on AD (including ascending, arch, and descending part) in the detection process. Furthermore, we design the site and area regression (SAR) module. With this help of accurate prediction, we achieved slice-level sensitivity and specificity of 99.1 % and 93.2%, respectively.