Cargando…

Automatic Segmentation of Specific Intervertebral Discs through a Two-Stage MultiResUNet Model

The automatic segmentation of intervertebral discs from medical images is an important task for an intelligent clinical system. In this study, a deep learning model based on the MultiResUNet model for the automatic segmentation of specific intervertebral discs is presented. MultiResUNet can easily s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cheng, Yu-Kai, Lin, Chih-Lung, Huang, Yi-Chi, Chen, Jui-Chi, Lan, Tzu-Peng, Lian, Zhen-You, Chuang, Cheng-Hung
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540184/ https://www.ncbi.nlm.nih.gov/pubmed/34682885 http://dx.doi.org/10.3390/jcm10204760

Ejemplares similares

MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals
por: Hossain, Md Shafayet, et al.
Publicado: (2023)

Artificial Intelligence for Automatic Measurement of Sagittal Vertical Axis Using ResUNet Framework
por: Weng, Chi-Hung, et al.
Publicado: (2019)

Left Ventricle Segmentation in Cardiac MR Images via an Improved ResUnet
por: Xu, Shengzhou, et al.
Publicado: (2022)

Automatic Building Extraction on Satellite Images Using Unet and ResNet50
por: Alsabhan, Waleed, et al.
Publicado: (2022)

Research on liver cancer segmentation method based on PCNN image processing and SE-ResUnet
por: Zang, Lan, et al.
Publicado: (2023)

Automatic kidney segmentation using 2.5D ResUNet and 2.5D DenseUNet for malignant potential analysis in complex renal cyst based on CT images
por: Kittipongdaja, Parin, et al.
Publicado: (2022)

Zebrafish Embryo Vessel Segmentation Using a Novel Dual ResUNet Model
por: Zhang, Kun, et al.
Publicado: (2019)

Ore image segmentation method using U-Net and Res_Unet convolutional networks
por: Liu, Xiaobo, et al.
Publicado: (2020)

Improved Agricultural Field Segmentation in Satellite Imagery Using TL-ResUNet Architecture
por: Safarov, Furkat, et al.
Publicado: (2022)

A Deep Learning Approach for Liver and Tumor Segmentation in CT Images Using ResUNet
por: Rahman, Hameedur, et al.
Publicado: (2022)

WA-ResUNet: A Focused Tail Class MRI Medical Image Segmentation Algorithm
por: Pan, Haixia, et al.
Publicado: (2023)

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

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

Comparative analysis of automatic segmentation of esophageal cancer using 3D Res-UNet on conventional and 40-keV virtual mono-energetic CT Images: a retrospective study
por: Zhong, Hua, et al.
Publicado: (2023)

Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model
por: Shamim, Sania, et al.
Publicado: (2022)

nn-TransUNet: An Automatic Deep Learning Pipeline for Heart MRI Segmentation
por: Zhao, Li, et al.
Publicado: (2022)

Gross Tumor Volume Segmentation for Stage III NSCLC Radiotherapy Using 3D ResSE-Unet
por: Yu, Xinhao, 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)

Fully Automatic Liver and Tumor Segmentation from CT Image Using an AIM-Unet
por: Özcan, Fırat, et al.
Publicado: (2023)

Retracted: Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model
por: Healthcare Engineering, Journal of
Publicado: (2023)

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

TMD-Unet: Triple-Unet with Multi-Scale Input Features and Dense Skip Connection for Medical Image Segmentation
por: Tran, Song-Toan, et al.
Publicado: (2021)

Optimized-Unet: Novel Algorithm for Parapapillary Atrophy Segmentation
por: Wan, Cheng, et al.
Publicado: (2021)

Automatic coronary artery segmentation of CCTA images using UNet with a local contextual transformer
por: Wang, Qianjin, et al.
Publicado: (2023)

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

Automating cell counting in fluorescent microscopy through deep learning with c-ResUnet
por: Morelli, Roberto, et al.
Publicado: (2021)

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

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

Mitigating Under-Sampling Artifacts in 3D Photoacoustic Imaging Using Res-UNet Based on Digital Breast Phantom
por: Huo, Haoming, et al.
Publicado: (2023)

MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation
por: Wang, Haonan, et al.
Publicado: (2023)

Mechanotransduction in intervertebral discs
por: Tsai, Tsung-Ting, et al.
Publicado: (2014)

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

New hybrid segmentation algorithm: UNet-GOA
por: Yousefi, Tohid, et al.
Publicado: (2023)

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)

VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images
por: Daniel, Jesline, et al.
Publicado: (2022)

Automatic Segmentation and Assessment of Valvular Regurgitations with Color Doppler Echocardiography Images: A VABC-UNet-Based Framework
por: Huang, Jun, et al.
Publicado: (2023)

Weight Pruning-UNet: Weight Pruning UNet with Depth-wise Separable Convolutions for Semantic Segmentation of Kidney Tumors
por: Rao, Patike Kiran, et al.
Publicado: (2022)

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

Cannot write session to /tmp/vufind_sessions/sess_abgejet91p3plu9753hr2obptg