TY - GEN
T1 - All Attention U-NET for Semantic Segmentation of Intracranial Hemorrhages In Head CT Images
AU - Shuo Chang, Chia
AU - Sheuan Chang, Tian
AU - Lin Yan, Jiun
AU - Ko, Li
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Intracranial hemorrhages in head CT scans serve as a first line tool to help specialists diagnose different types. However, their types have diverse shapes in the same type but similar confusing shape, size and location between types. To solve this problem, this paper proposes an all attention U-Net. It uses channel attentions in the U-Net encoder side to enhance class specific feature extraction, and space and channel attentions in the U-Net decoder side for more accurate shape extraction and type classification. The simulation results show up to a 31.8% improvement compared to baseline, ResNet50 + U-Net, and better performance than in cases with limited attention.
AB - Intracranial hemorrhages in head CT scans serve as a first line tool to help specialists diagnose different types. However, their types have diverse shapes in the same type but similar confusing shape, size and location between types. To solve this problem, this paper proposes an all attention U-Net. It uses channel attentions in the U-Net encoder side to enhance class specific feature extraction, and space and channel attentions in the U-Net decoder side for more accurate shape extraction and type classification. The simulation results show up to a 31.8% improvement compared to baseline, ResNet50 + U-Net, and better performance than in cases with limited attention.
KW - Deep Learning
KW - Head CT Scan
KW - Intracranial Hemorrhage
KW - Semantic Segmentation
UR - http://www.scopus.com/inward/record.url?scp=85142936553&partnerID=8YFLogxK
U2 - 10.1109/BioCAS54905.2022.9948588
DO - 10.1109/BioCAS54905.2022.9948588
M3 - Conference contribution
AN - SCOPUS:85142936553
T3 - BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings
SP - 600
EP - 604
BT - BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022
Y2 - 13 October 2022 through 15 October 2022
ER -