A robust and efficient CNN-transformer network for crack segmentation of high resolution images

Quang Du Nguyen; Huu Tai Thai

doi:10.1016/j.engstruct.2026.122159

Discussion(0)

No comments yet. Be the first to comment.

Related publications

Article2023

FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation

Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin‐Teng Lin, Witold Pedrycz

Article2021

Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images

Retesh Bajaj, Xingru Huang, Yakup Kilic, Anantharaman Ramasamy, Ajay Jain, Mick Ozkor, Vincenzo Tufaro, Hannah Safi, Emrah Erdoğan, Patrick W. Serruys, James Moon, Francesca Pugliese, Anthony Mathur, Ryo Torii, Andreas Baumbach, Jouke Dijkstra, Qianni Zhang, Christos V. Bourantas

International Journal of Cardiology

Article2021

A Computationally Inexpensive Way to Detect and Perform Segmentation on Morphed Images Using CNN

Neeraj Kumar, Divya Singh, Himja Uppal, Stuti Mehla

Preprint2022

Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation

Yiyue Hu, Lei Zhang, Nan Mu, Lei Liu

Article2023

Multi-scale feature flow alignment fusion with Transformer for the microscopic images segmentation of activated sludge

Lijie Zhao, Yingying Zhang, Guogang Wang, Mingzhong Huang, Qichun Zhang, Hamid Reza Karimi

Signal Image and Video Processing