[HTML][HTML] CTBANet: Convolution transformers and bidirectional attention for medical image segmentation
S Luo, L Pan, Y Jian, Y Lu, S Luo - Alexandria Engineering Journal, 2024 - Elsevier
In the last few years, Transformer has revolutionized the area of medical image
segmentation. Several similar studies have used the UNet architecture to combine …
segmentation. Several similar studies have used the UNet architecture to combine …
Unsupervised domain adaptation multi-level adversarial learning-based crossing-domain retinal vessel segmentation
J Liu, J Zhao, J Xiao, G Zhao, P Xu, Y Yang… - Computers in Biology …, 2024 - Elsevier
Background The retinal vasculature, a crucial component of the human body, mirrors various
illnesses such as cardiovascular disease, glaucoma, and retinopathy. Accurate …
illnesses such as cardiovascular disease, glaucoma, and retinopathy. Accurate …
[HTML][HTML] Enhancing tunnel crack detection with linear seam using mixed stride convolution and attention mechanism
L Lang, X Chen, Q Zhou - Scientific Reports, 2024 - ncbi.nlm.nih.gov
Cracks in tunnel lining structures constitute a common and serious problem that jeopardizes
the safety of traffic and the durability of the tunnel. The similarity between lining seams and …
the safety of traffic and the durability of the tunnel. The similarity between lining seams and …
A novel attention enhanced deep neural network for hypersonic spatiotemporal turbulence prediction
J Du, X Li, S Dong, Z Liu, G Chen - Physics of Fluids, 2024 - pubs.aip.org
High Reynolds number turbulent flow of hypersonic vehicles exhibits multi-scale flow
structures and non-equilibrium high-frequency characteristics, presenting a significant …
structures and non-equilibrium high-frequency characteristics, presenting a significant …
Involution Transformer based U-Net for Landmark Detection in Ultrasound Images for Diagnosis of Infantile DDH
T Huang, J Shi, J Li, J Wang, J Du… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The B-mode ultrasound based computer-aided diagnosis (CAD) has demonstrated its
effectiveness for diagnosis of Developmental Dysplasia of the Hip (DDH) in infants, which …
effectiveness for diagnosis of Developmental Dysplasia of the Hip (DDH) in infants, which …
BGRD-TransUNet: A novel TransUNet-based model for ultrasound breast lesion segmentation
Breast UltraSound (BUS) imaging is a commonly used diagnostic tool in the field of counter
fighting breast diseases, especially for early detection and diagnosis of breast cancer. Due …
fighting breast diseases, especially for early detection and diagnosis of breast cancer. Due …
Transformer based deep learning hybrid architecture for phase unwrapping
KG Bujagouni, S Pradhan - Physica Scripta, 2024 - iopscience.iop.org
A deep learning Hybrid architecture for phase unwrapping has been proposed. The hybrid
architecture is based on integration of Convolutional Neural Networks (CNN) with Vision …
architecture is based on integration of Convolutional Neural Networks (CNN) with Vision …
FDB-Net: Fusion double branch network combining CNN and transformer for medical image segmentation
Z Jiang, Y Wu, L Huang, M Gu - Journal of X-Ray Science and …, 2024 - content.iospress.com
BACKGROUND: The rapid development of deep learning techniques has greatly improved
the performance of medical image segmentation, and medical image segmentation …
the performance of medical image segmentation, and medical image segmentation …