Cargando…

BA-GCA Net: Boundary-Aware Grid Contextual Attention Net in Osteosarcoma MRI Image Segmentation

Osteosarcoma is one of the most common bone tumors that occurs in adolescents. Doctors often use magnetic resonance imaging (MRI) through biosensors to diagnose and predict osteosarcoma. However, a number of osteosarcoma MRI images have the problem of the tumor shape boundary being vague, complex, o...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wu, Jia, Liu, Zikang, Gou, Fangfang, Zhu, Jun, Tang, Haoyu, Zhou, Xian, Xiong, Wangping
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356797/ https://www.ncbi.nlm.nih.gov/pubmed/35942441 http://dx.doi.org/10.1155/2022/3881833

Ejemplares similares

Rethinking U-Net from an Attention Perspective with Transformers for Osteosarcoma MRI Image Segmentation
por: Ouyang, Tianxiang, et al.
Publicado: (2022)

An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation
por: Wang, Wei, et al.
Publicado: (2021)

Auxiliary Segmentation Method of Osteosarcoma MRI Image Based on Transformer and U-Net
por: Liu, Feng, et al.
Publicado: (2022)

DBE-Net: Dual Boundary-Guided Attention Exploration Network for Polyp Segmentation
por: Ma, Haichao, et al.
Publicado: (2023)

SCAU-Net: Spatial-Channel Attention U-Net for Gland Segmentation
por: Zhao, Peng, et al.
Publicado: (2020)

Attention-augmented U-Net (AA-U-Net) for semantic segmentation
por: Rajamani, Kumar T., et al.
Publicado: (2022)

ASCU-Net: Attention Gate, Spatial and Channel Attention U-Net for Skin Lesion Segmentation
por: Tong, Xiaozhong, et al.
Publicado: (2021)

ARA-net: an attention-aware retinal atrophy segmentation network coping with fundus images
por: Chen, Lei, et al.
Publicado: (2023)

APU-Net: An Attention Mechanism Parallel U-Net for Lung Tumor Segmentation
por: Zhou, Tao, et al.
Publicado: (2022)

Boundary Aware Semantic Segmentation using Pyramid-dilated Dense U-Net for Lung Segmentation in Computed Tomography Images
por: Agnes, S. Akila
Publicado: (2023)

SurfaceNets for Multi-Label Segmentations with Preservation of Sharp Boundaries
por: Frisken, Sarah F.
Publicado: (2022)

DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images
por: Yuan, Wenwen, et al.
Publicado: (2022)

Perineuronal nets stabilize the grid cell network
por: Christensen, Ane Charlotte, et al.
Publicado: (2021)

Correction: DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images
por: Yuan, Wenwen, et al.
Publicado: (2022)

DARU‐Net: A dual attention residual U‐Net for uterine fibroids segmentation on MRI
por: Zhang, Jian, et al.
Publicado: (2023)

Structure boundary-preserving U-Net for prostate ultrasound image segmentation
por: Bi, Hui, et al.
Publicado: (2022)

CRABR-Net: A Contextual Relational Attention-Based Recognition Network for Remote Sensing Scene Objective
por: Guo, Ningbo, et al.
Publicado: (2023)

An attention base U-net for parotid tumor autosegmentation
por: Xia, Xianwu, et al.
Publicado: (2022)

Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
por: Jeoun, Bo-Soung, et al.
Publicado: (2022)

BGM-Net: Boundary-Guided Multiscale Network for Breast Lesion Segmentation in Ultrasound
por: Wu, Yunzhu, et al.
Publicado: (2021)

XFinger-Net: Pixel-Wise Segmentation Method for Partially Defective Fingerprint Based on Attention Gates and U-Net
por: Wan, Guo Chun, et al.
Publicado: (2020)

Electrical Power Grid Frequency Estimation with Fuzzy Boolean Nets
por: Rodrigues, Nuno M., et al.
Publicado: (2020)

CMM-Net: Contextual multi-scale multi-level network for efficient biomedical image segmentation
por: Al-masni, Mohammed A., et al.
Publicado: (2021)

Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
por: Jeoun, Bo-Soung, et al.
Publicado: (2022)

NetWalker: a contextual network analysis tool for functional genomics
por: Komurov, Kakajan, et al.
Publicado: (2012)

Individual and contextual correlates of mosquito net use among women in Nigeria
por: Adedokun, Sulaimon T., et al.
Publicado: (2020)

SA-Net: A scale-attention network for medical image segmentation
por: Hu, Jingfei, et al.
Publicado: (2021)

Dual-Path Attention Compensation U-Net for Stroke Lesion Segmentation
por: Hui, Haisheng, et al.
Publicado: (2021)

Multiscale U-Net with Spatial Positional Attention for Retinal Vessel Segmentation
por: Liu, Congjun, et al.
Publicado: (2022)

MEA-Net: multilayer edge attention network for medical image segmentation
por: Liu, Huilin, et al.
Publicado: (2022)

Scale-attentional U-Net for the segmentation of the median nerve in ultrasound images
por: Kim, Beom Suk, et al.
Publicado: (2022)

Anti-Aliasing Attention U-net Model for Skin Lesion Segmentation
por: Le, Phuong Thi, et al.
Publicado: (2023)

Prediction of Pollutant Concentration Based on Spatial–Temporal Attention, ResNet and ConvLSTM
por: Chen, Cai, et al.
Publicado: (2023)

Auxiliary Segmentation Method of Osteosarcoma in MRI Images Based on Denoising and Local Enhancement
por: Wang, Luna, et al.
Publicado: (2022)

Does Anatomical Contextual Information Improve 3D U-Net-Based Brain Tumor Segmentation?
por: Tampu, Iulian Emil, et al.
Publicado: (2021)

Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19
Publicado: (2021)

CACPU-Net: Channel attention U-net constrained by point features for crop type mapping
por: Bian, Yuan, et al.
Publicado: (2023)

36. All headaches are not GCA
por: Jain, Nibha, et al.
Publicado: (2019)

MHA-Net: A Multibranch Hybrid Attention Network for Medical Image Segmentation
por: Zhang, Meifang, et al.
Publicado: (2022)

HEA-Net: Attention and MLP Hybrid Encoder Architecture for Medical Image Segmentation
por: An, Lijing, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_s7j0fqd4ku3sulmkt6gbv4dkmj