Cargando…

Super-Resolution Swin Transformer and Attention Network for Medical CT Imaging

Computerized tomography (CT) is widely used for clinical screening and treatment planning. In this study, we aimed to reduce X-ray radiation and achieve high-quality CT imaging by using low-intensity X-rays because CT radiation is damaging to the human body. An innovative vision transformer for medi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hu, Jianhua, Zheng, Shuzhao, Wang, Bo, Luo, Guixiang, Huang, WoQing, Zhang, Jun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754833/ https://www.ncbi.nlm.nih.gov/pubmed/36531651 http://dx.doi.org/10.1155/2022/4431536

Ejemplares similares

High-Resolution Swin Transformer for Automatic Medical Image Segmentation
por: Wei, Chen, et al.
Publicado: (2023)

FEA-Swin: Foreground Enhancement Attention Swin Transformer Network for Accurate UAV-Based Dense Object Detection
por: Xu, Wenyu, et al.
Publicado: (2022)

Swin-MFA: A Multi-Modal Fusion Attention Network Based on Swin-Transformer for Low-Light Image Human Segmentation
por: Yi, Xunpeng, et al.
Publicado: (2022)

SwinOCSR: end-to-end optical chemical structure recognition using a Swin Transformer
por: Xu, Zhanpeng, et al.
Publicado: (2022)

S-Swin Transformer: simplified Swin Transformer model for offline handwritten Chinese character recognition
por: Dan, Yongping, et al.
Publicado: (2022)

COVID-19 CT image segmentation method based on swin transformer
por: Sun, Weiwei, et al.
Publicado: (2022)

Swin transformer-based GAN for multi-modal medical image translation
por: Yan, Shouang, et al.
Publicado: (2022)

Super-Resolution Network with Information Distillation and Multi-Scale Attention for Medical CT Image
por: Zhao, Tianliu, et al.
Publicado: (2021)

Face-based age estimation using improved Swin Transformer with attention-based convolution
por: Shi, Chaojun, et al.
Publicado: (2023)

SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer
por: Jiang, Yun, et al.
Publicado: (2022)

ContransGAN: Convolutional Neural Network Coupling Global Swin-Transformer Network for High-Resolution Quantitative Phase Imaging with Unpaired Data
por: Ding, Hao, et al.
Publicado: (2022)

Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction
por: Pan, Jiayi, et al.
Publicado: (2022)

Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution
por: Cai, Yimin, et al.
Publicado: (2023)

A Swin Transformer-based model for mosquito species identification
por: Zhao, De-zhong, et al.
Publicado: (2022)

Swin Transformer-Based Edge Guidance Network for RGB-D Salient Object Detection
por: Wang, Shuaihui, et al.
Publicado: (2023)

Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention
por: Wu, Mian, et al.
Publicado: (2023)

Fully Cross-Attention Transformer for Guided Depth Super-Resolution
por: Ariav, Ido, et al.
Publicado: (2023)

Super-resolution reconstruction based on Gaussian transform and attention mechanism
por: Zou, Shuilong, et al.
Publicado: (2023)

Object Detection Based on Swin Deformable Transformer-BiPAFPN-YOLOX
por: Shi, Peicheng, et al.
Publicado: (2023)

WormSwin: Instance segmentation of C. elegans using vision transformer
por: Deserno, Maurice, et al.
Publicado: (2023)

Attention Network with Information Distillation for Super-Resolution
por: Zang, Huaijuan, et al.
Publicado: (2022)

Swin-Transformer-Based YOLOv5 for Small-Object Detection in Remote Sensing Images
por: Cao, Xuan, et al.
Publicado: (2023)

Super resolution reconstruction of CT images based on multi-scale attention mechanism
por: Yin, Jian, et al.
Publicado: (2023)

Edge-Enhanced with Feedback Attention Network for Image Super-Resolution
por: Fu, Chunmei, et al.
Publicado: (2021)

Super-Resolution Generative Adversarial Network Based on the Dual Dimension Attention Mechanism for Biometric Image Super-Resolution
por: Huang, Chi-En, et al.
Publicado: (2021)

ST-YOLOA: a Swin-transformer-based YOLO model with an attention mechanism for SAR ship detection under complex background
por: Zhao, Kai, et al.
Publicado: (2023)

PVformer: Pedestrian and Vehicle Detection Algorithm Based on Swin Transformer in Rainy Scenes
por: Sun, Zaiming, et al.
Publicado: (2022)

Research on Automatic Classification and Detection of Mutton Multi-Parts Based on Swin-Transformer
por: Zhao, Shida, et al.
Publicado: (2023)

Multi-phase attention network for face super-resolution
por: Hu, Tao, et al.
Publicado: (2023)

Lightweight Multi-Scale Asymmetric Attention Network for Image Super-Resolution
por: Zhang, Min, et al.
Publicado: (2021)

Analysis of CT scan images for COVID-19 pneumonia based on a deep ensemble framework with DenseNet, Swin transformer, and RegNet
por: Peng, Lihong, et al.
Publicado: (2022)

Swin-HSTPS: Research on Target Detection Algorithms for Multi-Source High-Resolution Remote Sensing Images
por: Fang, Kun, et al.
Publicado: (2021)

Fine-grained weed recognition using Swin Transformer and two-stage transfer learning
por: Wang, Yecheng, et al.
Publicado: (2023)

Swin–UNet++: A Nested Swin Transformer Architecture for Location Identification and Morphology Segmentation of Dimples on 2.25Cr1Mo0.25V Fractured Surface
por: Liu, Pan, et al.
Publicado: (2021)

Correction to: Single Image Super-Resolution via a Holistic Attention Network
por: Niu, Ben, et al.
Publicado: (2020)

A super-resolution network using channel attention retention for pathology images
por: Jia, Feiyang, et al.
Publicado: (2023)

Multi-Fundus Diseases Classification Using Retinal Optical Coherence Tomography Images with Swin Transformer V2
por: Li, Zhenwei, et al.
Publicado: (2023)

Progressive back-projection network for COVID-CT super-resolution
por: Song, Zhaoyang, et al.
Publicado: (2021)

S2A: Scale-Attention-Aware Networks for Video Super-Resolution
por: Guo, Taian, et al.
Publicado: (2021)

A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution
por: Zhu, Yonggui, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_dk6q4pb2jahiu638lnc88ttb1m