Results 191 to 200 of about 6,093,681 (207)

DSMS-FCN: A Deeply Supervised Multi-scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images

2018
This paper addresses the challenging problem of segmentation of intervertebral discs (IVDs) in three-dimensional (3D) T2-weighted magnetic resonance (MR) images. We propose a deeply supervised multi-scale fully convolutional network for segmentation of IVDs in 3D MR images.
Guodong Zeng, Guoyan Zheng
openaire   +1 more source

A comparative study on fully convolutional networks—FCN-8, FCN-16, and FCN-32

2022
Prisilla Jayanthi, Iyyanki V. Murali Krishna   +1 more
openaire   +1 more source

Comparison of U-Net and Fully Convolutional Networks (FCN) for concrete cracks detection using raw images under various conditions

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Crack detection in concrete buildings is crucial for assessing structural health, but it poses challenges due to complex backgrounds, real-time requirements, and high accuracy demands. Deep learning techniques, including U-Net and Fully Convolutional Networks (FCN), have shown promise in crack detection.
Mohammed Al-Qadri, Peiwei Gao, Hui Zhang, Zhiqing Zhao, Lifeng Chen, Feng Cen, Jun Zhang   +6 more
openaire   +1 more source

A residual fully convolutional network (Res-FCN) for electromagnetic inversion of high contrast scatterers at an arbitrary frequency within a wide frequency band

Inverse Problems
Abstract Many successful machine learning methods have been developed for electromagnetic (EM) inverse scattering problems. However, so far, their inversion has been performed only at the specifically trained frequencies. To make the machine learning based inversion method more generalizable for realistic engineering applications, this ...
Hao-Jie Hu, Jiawen Li, Li-Ye Xiao, Yu Cheng, Qing Huo Liu   +4 more
openaire   +1 more source

Class-Wise Fully Convolutional Network for Semantic Segmentation of Remote Sensing Images

Remote Sensing, 2021
Tian Tian
exaly  

Robust Prediction of Isodose Distribution with a Fully Convolutional Networks (FCN)-Based Deep Learning Model

International Journal of Radiation Oncology*Biology*Physics, 2018
P. Dong, L. Xing
openaire   +1 more source

Hybrid Attention-Based Encoder–Decoder Fully Convolutional Network for PolSAR Image Classification

Remote Sensing, 2023
Zheng Fang, Qijun Dai, Xue Biao
exaly  

Co-Saliency Detection With Co-Attention Fully Convolutional Network

IEEE Transactions on Circuits and Systems for Video Technology, 2021
Yunhong Wang, Guangshuai Gao, Qingjie Liu   +2 more
exaly  

Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

Remote Sensing, 2017
Gang Fu, Changjun Liu, Rong Zhou
exaly  

Image Splicing Localization using a Multi-task Fully Convolutional Network (MFCN)

Journal of Visual Communication and Image Representation, 2018
C -C Jay Kuo, Yuzhuo Ren
exaly