Results 161 to 170 of about 18,989 (190)

Evaluation on Auto-segmentation of the Clinical Target Volume (CTV) for Graves' Ophthalmopathy (GO) with a Fully Convolutional Network (FCN) on CT Images

Current Medical Imaging Formerly Current Medical Imaging Reviews, 2020
Purpose: The aim of this study is to evaluate the accuracy and dosimetric effects for auto- segmentation of the CTV for GO in CT images based on FCN. Methods: An FCN-8s network architecture for auto-segmentation was built based on Caffe. CT images of 121 patients with GO who have received radiotherapy at the West China Hospital of Sichuan University
Jialiang Jiang, Yong Luo, Feng Wang, Yuchuan Fu, Hang Yu, Yisong He   +5 more
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AGR-FCN: Adversarial Generated Region based on Fully Convolutional Networks for Single- and Multiple-Instance Object Detection

2019 IEEE International Conference on Imaging Systems and Techniques (IST), 2019
Addressing the problem that object instance detection has poor detection effect on occluded objects in unstructured environment when using deep learning network, we explore the use of the strategy of adversarial learning in this paper. A three-step pipeline is carried to build a novel learning framework denoted as Adversarial Generated Region-based ...
Rui Wang, Runnan Qin, Jialing Zou, Liang Zhang   +3 more
openalex   +2 more sources

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

, 2022
Prisilla Jayanthi, Iyyanki V. Murali Krishna   +1 more
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HG-FCN: Hierarchical Grid Fully Convolutional Network for Fast VVC Intra Coding

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Shilin Wu, Jun Shi, Zhibo Chen
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Robust Prediction of Isodose Distribution with a Fully Convolutional Networks (FCN)-Based Deep Learning Model

International Journal of Radiation Oncology*Biology*Physics, 2018
Peng Dong, Lei Xing
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TER-FCN: Tensor Einstein Reduced Fully Connected Network applied to Region-based Convolutional Neural Networks for object detection

Signal, Image and Video Processing
Alaa El Ichi, Wissam Kaddah, Marwa El Bouz, Isabelle Badoc   +3 more
openalex   +2 more sources

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An alcohol-dispersed conducting polymer complex for fully printable organic solar cells with improved stability

Nature Energy, 2022
Youyu Jiang, Xinyun Dong, Lulu Sun
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Fully exposed palladium cluster catalysts enable hydrogen production from nitrogen heterocycles

Nature Catalysis, 2022
Chunyang Dong, Zirui Gao, Mi Peng
exaly  

In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks

Nature Materials, 2021
Gianluca Milano, Shahin Hashemkhani, Luca Boarino   +2 more
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