Cargando…

N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation

Medical image segmentation is an essential component of computer-aided diagnosis (CAD) systems. Thyroid nodule segmentation using ultrasound images is a necessary step for the early diagnosis of thyroid diseases. An encoder-decoder based deep convolutional neural network (DCNN), like U-Net architect...

Descripción completa

Detalles Bibliográficos
Autores principales:	Nie, Xingqing, Zhou, Xiaogen, Tong, Tong, Lin, Xingtao, Wang, Luoyan, Zheng, Haonan, Li, Jing, Xue, Ensheng, Chen, Shun, Zheng, Meijuan, Chen, Cong, Du, Min
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475170/ https://www.ncbi.nlm.nih.gov/pubmed/36117632 http://dx.doi.org/10.3389/fnins.2022.872601

Ejemplares similares

Corrigendum: N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation
por: Nie, Xingqing, et al.
Publicado: (2022)

A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification
por: Wang, Luoyan, et al.
Publicado: (2022)

Fully Convolutional DenseNet with Multiscale Context for Automated Breast Tumor Segmentation
por: Hai, Jinjin, et al.
Publicado: (2019)

Recovery of Ionospheric Signals Using Fully Convolutional DenseNet and Its Challenges
por: Mendoza, Merlin M., et al.
Publicado: (2021)

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

IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors
por: Arsalan, Muhammad, et al.
Publicado: (2018)

Segmentation Algorithm of Magnetic Resonance Imaging Glioma under Fully Convolutional Densely Connected Convolutional Networks
por: Dong, Jie, et al.
Publicado: (2022)

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

Retracted: Segmentation Algorithm of Magnetic Resonance Imaging Glioma under Fully Convolutional Densely Connected Convolutional Networks
por: International, Stem Cells
Publicado: (2023)

Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study
por: Wang, Qingfeng, et al.
Publicado: (2020)

Cell‐free RNA and fully convolutional dense network‐based early preeclampsia prediction
por: Zhao, Zhuo, et al.
Publicado: (2023)

Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation
por: Aldoj, Nader, et al.
Publicado: (2022)

Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network
por: Kido, Shoji, et al.
Publicado: (2022)

Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation
por: Zhu, Hancan, et al.
Publicado: (2019)

Classification of asymmetry in mammography via the DenseNet convolutional neural network
por: Liao, Tingting, et al.
Publicado: (2023)

Accurate segmentation for different types of lung nodules on CT images using improved U-Net convolutional network
por: Zhang, Xiaofang, et al.
Publicado: (2021)

Split-Attention U-Net: A Fully Convolutional Network for Robust Multi-Label Segmentation from Brain MRI
por: Lee, Minho, et al.
Publicado: (2020)

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

Attention-Guided Network with Densely Connected Convolution for Skin Lesion Segmentation
por: Tao, Shengxin, et al.
Publicado: (2021)

Fully automatic wound segmentation with deep convolutional neural networks
por: Wang, Chuanbo, et al.
Publicado: (2020)

HADCNet: Automatic segmentation of COVID-19 infection based on a hybrid attention dense connected network with dilated convolution
por: Chen, Ying, et al.
Publicado: (2022)

DenseNet-II: an improved deep convolutional neural network for melanoma cancer detection
por: Girdhar, Nancy, et al.
Publicado: (2022)

Dense deconvolution net: Multi path fusion and dense deconvolution for high resolution skin lesion segmentation
por: He, Xinzi, et al.
Publicado: (2018)

DRI-Net: segmentation of polyp in colonoscopy images using dense residual-inception network
por: Lan, Xiaoke, et al.
Publicado: (2023)

Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks
por: Chen, Liang, et al.
Publicado: (2017)

Joint disc and cup segmentation based on recurrent fully convolutional network
por: Gao, Jing, et al.
Publicado: (2020)

Fully Convolutional Network for the Semantic Segmentation of Medical Images: A Survey
por: Huang, Sheng-Yao, et al.
Publicado: (2022)

DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image
por: Hasan, Najmul, et al.
Publicado: (2021)

Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture
por: Zheng, Tianlei, et al.
Publicado: (2023)

Dense U-net Based on Patch-Based Learning for Retinal Vessel Segmentation
por: Wang, Chang, et al.
Publicado: (2019)

Blood Vessel Segmentation of Retinal Image Based on Dense-U-Net Network
por: Li, Zhenwei, et al.
Publicado: (2021)

Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network
por: Huang, Chen, et al.
Publicado: (2019)

DCNet: Densely Connected Deep Convolutional Encoder–Decoder Network for Nasopharyngeal Carcinoma Segmentation
por: Li, Yang, et al.
Publicado: (2021)

Densely Convolutional Spatial Attention Network for nuclei segmentation of histological images for computational pathology
por: Islam Sumon, Rashadul, et al.
Publicado: (2023)

Polyp Segmentation with Fully Convolutional Deep Neural Networks—Extended Evaluation Study †
por: Guo, Yunbo, et al.
Publicado: (2020)

Fully automated condyle segmentation using 3D convolutional neural networks
por: Jha, Nayansi, et al.
Publicado: (2022)

CT based automatic clinical target volume delineation using a dense-fully connected convolution network for cervical Cancer radiation therapy
por: Ju, Zhongjian, et al.
Publicado: (2021)

Adversarial dense graph convolutional networks for single-cell classification
por: Wang, Kangwei, et al.
Publicado: (2023)

Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net
por: Aldoj, Nader, et al.
Publicado: (2020)

PAM-DenseNet: A Deep Convolutional Neural Network for Computer-Aided COVID-19 Diagnosis
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_6meivs627viikvonc98bpq9flj