Results 31 to 40 of about 151,952 (268)

Segmentation Detection Method for Complex Road Cracks Collected by UAV Based on HC-Unet++

Drones, 2023
Road cracks are one of the external manifestations of safety hazards in transportation. At present, the detection and segmentation of road cracks is still an intensively researched issue.
Hongbin Cao, Yuxi Gao, Weiwei Cai, Zhuonong Xu, Liujun Li   +4 more
doaj   +1 more source

Implementation of VLAN and ACL for Network Security at SDIT Ibnu Hajar Bekasi

Journal of Electrical Engineering and Computer
In the age of modern technology, network security is essential to ensure that educational institutions operate properly. The purpose of this research is to improve the network security of SDIT Ibnu Hajar Bekasi City by applying technologies such as ...
Taufik Rahman, Qori Aprianto
doaj   +1 more source

Study on MRI Medical Image Segmentation Technology Based on CNN-CRF Model

IEEE Access, 2020
Image segmentation is an important technique for segmenting images without overlapping each other and having their own features. It has been rapidly developed in the field of medical imaging, but there is currently a difference between classification ...
Naiqin Feng, Xiuqin Geng, Lijuan Qin
doaj   +1 more source

A Multi-Scale Contextual Information Enhancement Network for Crack Segmentation

Applied Sciences, 2022
In recent years, convolutional neural-network-based crack segmentation methods have performed excellently. However, existing crack segmentation methods still suffer from background noise interference, such as dirt patches and pitting, as well as the ...
Lili Zhang, Yang Liao, Gaoxu Wang, Jun Chen, Huibin Wang   +4 more
doaj   +1 more source

An End-To-End Network for Panoptic Segmentation [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Panoptic segmentation, which needs to assign a category label to each pixel and segment each object instance simultaneously, is a challenging topic. Traditionally, the existing approaches utilize two independent models without sharing features, which makes the pipeline inefficient to implement.
Huanyu Liu, Chao Peng 0001, Changqian Yu, Jingbo Wang 0003, Xu Liu 0017, Gang Yu 0002, Wei Jiang 0009   +6 more
openaire   +2 more sources

Prostate MR Image Segmentation With Self-Attention Adversarial Training Based on Wasserstein Distance

IEEE Access, 2019
Prostate diseases are very common in men. Accurate segmentation of the prostate plays a significant role in further clinical treatment and diagnosis. There have been some methods that combine the segmentation network and generative adversarial network ...
Chengwei Su, Renxiang Huang, Chang Liu, Tailang Yin, Bo Du   +4 more
doaj   +1 more source

Fully convolutional networks for semantic segmentation [PDF]

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
to appear in PAMI (accepted May, 2016); journal edition of arXiv:1411 ...
Evan Shelhamer, Jonathan Long, Trevor Darrell   +2 more
openaire   +4 more sources

Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions

IEEE Access
Wireless Sensor Networks (WSNs) significantly impact reliable data communications in environmental monitoring, health care, and transportation applications.
Ola Khudhair Abbas, Fairuz Abdullah, Nurul Asyikin Mohamed Radzi, Aymen Dawood Salman, Said Jadid Abdulkadir   +4 more
doaj   +1 more source

CI-UNet: Application of Segmentation of Medical Images of the Human Torso

Applied Sciences, 2023
The study of human torso medical image segmentation is significant for computer-aided diagnosis of human examination, disease tracking, and disease prevention and treatment.
Junkang Qin, Xiao Wang, Dechang Mi, Qinmu Wu, Zhiqin He, Yu Tang   +5 more
doaj   +1 more source

Efficient Knowledge Distillation for Brain Tumor Segmentation

Applied Sciences, 2022
Deep learning has allowed great progress to be made in obtaining more accurate prediction results for brain tumor segmentation. The current mainstream research approaches obtain segmentation accuracy improvements by modifying deep-learning model ...
Yuan Qi, Wenyin Zhang, Xing Wang, Xinya You, Shunbo Hu, Ji Chen   +5 more
doaj   +1 more source