Cargando…

Fault Recognition Method Based on Attention Mechanism and the 3D-UNet

Oil and gas reservoirs are of great significance for economic benefits. Faults act as important conduits for transporting hydrocarbons and as essential sealing conditions. The location and morphology of faults reflect changes in the shape of the strata, so fault interpretation of seismic data has be...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yu, Ting, Wang, Xin, Chen, Tong Jun, Ding, Chang Wei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050295/ https://www.ncbi.nlm.nih.gov/pubmed/35498188 http://dx.doi.org/10.1155/2022/9856669

Ejemplares similares

Accurate 3D Reconstruction of White Matter Hyperintensities Based on Attention-Unet
por: Wang, Xun, et al.
Publicado: (2022)

SAA-UNet: Spatial Attention and Attention Gate UNet for COVID-19 Pneumonia Segmentation from Computed Tomography
por: Alshomrani, Shroog, et al.
Publicado: (2023)

SigUNet: signal peptide recognition based on semantic segmentation
por: Wu, Jhe-Ming, et al.
Publicado: (2019)

Improved UNet with Attention for Medical Image Segmentation
por: AL Qurri, Ahmed, et al.
Publicado: (2023)

RatUNet: residual U-Net based on attention mechanism for image denoising
por: Zhang, Huibin, et al.
Publicado: (2022)

SCTV-UNet: a COVID-19 CT segmentation network based on attention mechanism
por: Liu, Xiangbin, et al.
Publicado: (2023)

C-UNet: Complement UNet for Remote Sensing Road Extraction
por: Hou, Yuewu, et al.
Publicado: (2021)

PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans
por: Bougourzi, Fares, et al.
Publicado: (2023)

Automatic Extraction of Muscle Parameters with Attention UNet in Ultrasonography
por: Katakis, Sofoklis, et al.
Publicado: (2022)

Anterior Mediastinal Lesion Segmentation Based on Two-Stage 3D ResUNet With Attention Gates and Lung Segmentation
por: Huang, Su, et al.
Publicado: (2021)

Research on Field Soybean Weed Identification Based on an Improved UNet Model Combined With a Channel Attention Mechanism
por: Yu, Helong, et al.
Publicado: (2022)

TA-Unet: Integrating Triplet Attention Module for Drivable Road Region Segmentation
por: Li, Sijia, et al.
Publicado: (2022)

DSKCA-UNet: Dynamic selective kernel channel attention for medical image segmentation
por: Shen, Longfeng, et al.
Publicado: (2023)

Unfolded deep kernel estimation-attention UNet-based retinal image segmentation
por: Radha, K., et al.
Publicado: (2023)

A Hybrid-Attention Nested UNet for Nuclear Segmentation in Histopathological Images
por: He, Hongliang, et al.
Publicado: (2021)

Cross-Attention and Deep Supervision UNet for Lesion Segmentation of Chronic Stroke
por: Sheng, Manjin, et al.
Publicado: (2022)

A Medical Image Segmentation Method Based on Improved UNet 3+ Network
por: Xu, Yang, et al.
Publicado: (2023)

TDD-UNet:Transformer with double decoder UNet for COVID-19 lesions segmentation
por: Huang, Xuping, et al.
Publicado: (2022)

Application of a pyramid pooling Unet model with integrated attention mechanism and Inception module in pancreatic tumor segmentation
por: Zhang, Zhiwei, et al.
Publicado: (2023)

Recognition Rate Advancement and Data Error Improvement of Pathology Cutting with H-DenseUNet for Hepatocellular Carcinoma Image
por: Chen, Wen-Fan, et al.
Publicado: (2021)

Dynamic Semi-Supervised Federated Learning Fault Diagnosis Method Based on an Attention Mechanism
por: Liu, Shun, et al.
Publicado: (2023)

Multiresolution Aggregation Transformer UNet Based on Multiscale Input and Coordinate Attention for Medical Image Segmentation
por: Chen, Shaolong, et al.
Publicado: (2022)

SeUneter: Channel attentive U-Net for instance segmentation of the cervical spine MRI medical image
por: Zhang, Xiang, et al.
Publicado: (2022)

PCAT-UNet: UNet-like network fused convolution and transformer for retinal vessel segmentation
por: Chen, Danny, et al.
Publicado: (2022)

Wheat lodging extraction using Improved_Unet network
por: Yu, Jun, et al.
Publicado: (2022)

Crack Unet: Crack Recognition Algorithm Based on Three-Dimensional Ground Penetrating Radar Images
por: Tang, Jiaming, et al.
Publicado: (2022)

Development of lung segmentation method in x-ray images of children based on TransResUNet
por: Chen, Lingdong, et al.
Publicado: (2023)

2nd UNet conference
por: El-Azouzi, Rachid, et al.
Publicado: (2017)

Smart Parking Locks Based on Extended UNET-GWO-SVM Algorithm
por: Shen, Jianguo, et al.
Publicado: (2023)

A Residual UNet Denoising Network Based on Multi-Scale Feature Extraction and Attention-Guided Filter
por: Liu, Hualin, et al.
Publicado: (2023)

MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN
por: Jiang, Yun, et al.
Publicado: (2022)

MID-UNet: Multi-input directional UNet for COVID-19 lung infection segmentation from CT images
por: Chi, Jianning, et al.
Publicado: (2022)

Lung and Infection CT-Scan-Based Segmentation with 3D UNet Architecture and Its Modification
por: Asnawi, Mohammad Hamid, et al.
Publicado: (2023)

Enhancing Breast Ultrasound Segmentation through Fine-tuning and Optimization Techniques: Sharp Attention UNet
por: Khaledyan, Donya, et al.
Publicado: (2023)

Research on CT Lung Segmentation Method of Preschool Children based on Traditional Image Processing and ResUnet
por: Li, Zheming, et al.
Publicado: (2022)

AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network
por: Yu, Mingyang, et al.
Publicado: (2022)

“It’s Always the Judge’s Fault”: Attention, Emotion Recognition, and Expertise in Rhythmic Gymnastics Assessment
por: van Bokhorst, Lindsey G., et al.
Publicado: (2016)

A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution
por: Safarov, Sirojbek, et al.
Publicado: (2021)

COVID TV-Unet: Segmenting COVID-19 chest CT images using connectivity imposed Unet
por: Saeedizadeh, Narges, et al.
Publicado: (2021)

Network Construction for Bearing Fault Diagnosis Based on Double Attention Mechanism
por: Wu, QingE, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_40ovsaje4jspsoucpsmbel70fb