Cargando…

SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer

Brain tumor semantic segmentation is a critical medical image processing work, which aids clinicians in diagnosing patients and determining the extent of lesions. Convolutional neural networks (CNNs) have demonstrated exceptional performance in computer vision tasks in recent years. For 3D medical i...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jiang, Yun, Zhang, Yuan, Lin, Xin, Dong, Jinkun, Cheng, Tongtong, Liang, Jing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221215/ https://www.ncbi.nlm.nih.gov/pubmed/35741682 http://dx.doi.org/10.3390/brainsci12060797

Ejemplares similares

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

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

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

COVID-19 CT image segmentation method based on swin transformer
por: Sun, Weiwei, 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)

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

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

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

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)

Swin Transformer Improves the IDH Mutation Status Prediction of Gliomas Free of MRI-Based Tumor Segmentation
por: Wu, Jiangfen, et al.
Publicado: (2022)

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

Super-Resolution Swin Transformer and Attention Network for Medical CT Imaging
por: Hu, Jianhua, et al.
Publicado: (2022)

Object Detection Based on Swin Deformable Transformer-BiPAFPN-YOLOX
por: Shi, Peicheng, 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)

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

Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT
por: Du, Wensheng, et al.
Publicado: (2023)

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

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)

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

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

Automatic segmentation framework of X-Ray tomography data for multi-phase rock using Swin Transformer approach
por: Chen, Hao, et al.
Publicado: (2023)

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

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

A Deep Learning Approach for Neuronal Cell Body Segmentation in Neurons Expressing GCaMP Using a Swin Transformer
por: Islam, Mohammad Shafkat, et al.
Publicado: (2023)

Rapid Non-Destructive Analysis of Food Nutrient Content Using Swin-Nutrition
por: Shao, Wenjing, et al.
Publicado: (2022)

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

Sports competition tactical analysis model of cross-modal transfer learning intelligent robot based on Swin Transformer and CLIP
por: Jiang, Li, et al.
Publicado: (2023)

Swin-YOLOv5: Research and Application of Fire and Smoke Detection Algorithm Based on YOLOv5
por: Zhang, Shangjie Ge, et al.
Publicado: (2022)

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)

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

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)

FunSwin: A deep learning method to analysis diabetic retinopathy grade and macular edema risk based on fundus images
por: Yao, Zhaomin, et al.
Publicado: (2022)

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)

X-ray Cherenkov-luminescence tomography reconstruction with a three-component deep learning algorithm: Swin transformer, convolutional neural network, and locality module
por: Feng, Jinchao, et al.
Publicado: (2023)

Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography
por: Tuncer, Ilknur, et al.
Publicado: (2023)

Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E‐stained images: achieving state‐of‐the‐art predictive performance with fewer data using Swin Transformer
por: Guo, Bangwei, et al.
Publicado: (2023)

Tyrosine Kinase Inhibitor Activity in Patients with NSCLC Harboring Uncommon EGFR Mutations: A Retrospective International Cohort Study (UpSwinG)
por: Popat, Sanjay, et al.
Publicado: (2022)

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

Engineering Nt.BtsCI and Nb.BtsCI nicking enzymes and applications in generating long overhangs
por: Too, Priscilla Hiu-Mei, et al.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_62kdbuice50klkmcap53fjb79o