Cargando…

Brain SegNet: 3D local refinement network for brain lesion segmentation

MR images (MRIs) accurate segmentation of brain lesions is important for improving cancer diagnosis, surgical planning, and prediction of outcome. However, manual and accurate segmentation of brain lesions from 3D MRIs is highly expensive, time-consuming, and prone to user biases. We present an effi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hu, Xiaojun, Luo, Weijian, Hu, Jiliang, Guo, Sheng, Huang, Weilin, Scott, Matthew R., Wiest, Roland, Dahlweid, Michael, Reyes, Mauricio
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014943/ https://www.ncbi.nlm.nih.gov/pubmed/32046685 http://dx.doi.org/10.1186/s12880-020-0409-2

Ejemplares similares

SM-SegNet: A Lightweight Squeeze M-SegNet for Tissue Segmentation in Brain MRI Scans
por: Yamanakkanavar, Nagaraj, et al.
Publicado: (2022)

Retinal Vessel Automatic Segmentation Using SegNet
por: Xu, Xiaomei, et al.
Publicado: (2022)

Retracted: Retinal Vessel Automatic Segmentation Using SegNet
por: Methods in Medicine, Computational and Mathematical
Publicado: (2023)

Multi-Scale Squeeze U-SegNet with Multi Global Attention for Brain MRI Segmentation
por: Dayananda, Chaitra, et al.
Publicado: (2021)

Liver Tumor Segmentation in CT Scans Using Modified SegNet
por: Almotairi, Sultan, et al.
Publicado: (2020)

COVID-SegNet: encoder–decoder-based architecture for COVID-19 lesion segmentation in chest X-ray
por: Agrawal, Tarun, et al.
Publicado: (2023)

Pixel-Label-Based Segmentation of Cross-Sectional Brain MRI Using Simplified SegNet Architecture-Based CNN
por: Khagi, Bijen, et al.
Publicado: (2018)

COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet
por: Saood, Adnan, et al.
Publicado: (2021)

Connected-SegNets: A Deep Learning Model for Breast Tumor Segmentation from X-ray Images
por: Alkhaleefah, Mohammad, et al.
Publicado: (2022)

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

Intelligent yield estimation for tomato crop using SegNet with VGG19 architecture
por: Maheswari, Prabhakar, et al.
Publicado: (2022)

TC-SegNet: robust deep learning network for fully automatic two-chamber segmentation of two-dimensional echocardiography
por: Lal, Shyam
Publicado: (2023)

GL-Segnet: Global-Local representation learning net for medical image segmentation
por: Gai, Di, et al.
Publicado: (2023)

Comparison of multi-class and fusion of multiple single-class SegNet model for mapping karst wetland vegetation using UAV images
por: Deng, Tengfang, et al.
Publicado: (2022)

Correction: Alkhaleefah et al. Connected-SegNets: A Deep Learning Model for Breast Tumor Segmentation from X-ray Images. Cancers 2022, 14, 4030
por: Alkhaleefah, Mohammad, et al.
Publicado: (2023)

BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder–Decoder Network
por: Rehman, Mobeen Ur, et al.
Publicado: (2021)

SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder
por: Atlason, Hans E., et al.
Publicado: (2019)

MitoSegNet: Easy-to-use Deep Learning Segmentation for Analyzing Mitochondrial Morphology
por: Fischer, Christian A., et al.
Publicado: (2020)

SegChaNet: A Novel Model for Lung Cancer Segmentation in CT Scans
por: Cifci, Mehmet Akif
Publicado: (2022)

Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline
por: Wang, Jiahui, et al.
Publicado: (2014)

Brain tumor classification using the diffusion tensor image segmentation (D-SEG) technique
por: Jones, Timothy L., et al.
Publicado: (2015)

Utilizing the TractSeg Tool for Automatic Corticospinal Tract Segmentation in Patients With Brain Pathology
por: Moshe, Yael H., et al.
Publicado: (2022)

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
por: Billot, Benjamin, et al.
Publicado: (2023)

DeepBrainSeg: Automated Brain Region Segmentation for Micro-Optical Images With a Convolutional Neural Network
por: Tan, Chaozhen, et al.
Publicado: (2020)

Simultaneous lesion and brain segmentation in multiple sclerosis using deep neural networks
por: McKinley, Richard, et al.
Publicado: (2021)

TranSegNet: Hybrid CNN-Vision Transformers Encoder for Retina Segmentation of Optical Coherence Tomography
por: Zhang, Yiheng, et al.
Publicado: (2023)

GeneSegNet: a deep learning framework for cell segmentation by integrating gene expression and imaging
por: Wang, Yuxing, et al.
Publicado: (2023)

NuSegDA: Domain adaptation for nuclei segmentation
por: Haq, Mohammad Minhazul, et al.
Publicado: (2023)

SEG: Segmentation Evaluation in absence of Ground truth labels
por: Sims, Zachary, et al.
Publicado: (2023)

Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry
por: Meier, Raphael, et al.
Publicado: (2016)

TEMImageNet training library and AtomSegNet deep-learning models for high-precision atom segmentation, localization, denoising, and deblurring of atomic-resolution images
por: Lin, Ruoqian, et al.
Publicado: (2021)

Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor Segmentation
por: Rebsamen, Michael, et al.
Publicado: (2019)

SegAnnDB: interactive Web-based genomic segmentation
por: Hocking, Toby D., et al.
Publicado: (2014)

iSeg: an efficient algorithm for segmentation of genomic and epigenomic data
por: Girimurugan, Senthil B., et al.
Publicado: (2018)

MRI adipose tissue segmentation and quantification in R (RAdipoSeg)
por: Haugen, Christine, et al.
Publicado: (2022)

DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images
por: Zeineldin, Ramy A., et al.
Publicado: (2020)

Seg-CapNet: A Capsule-Based Neural Network for the Segmentation of Left Ventricle from Cardiac Magnetic Resonance Imaging
por: Cao, Yang-Jie, et al.
Publicado: (2021)

EcSeg: Semantic Segmentation of Metaphase Images Containing Extrachromosomal DNA
por: Rajkumar, Utkrisht, et al.
Publicado: (2019)

PseudoSegRT: efficient pseudo-labelling for intraoperative OCT segmentation
por: Huang, Yu, et al.
Publicado: (2023)

Dermo-Seg: ResNet-UNet Architecture and Hybrid Loss Function for Detection of Differential Patterns to Diagnose Pigmented Skin Lesions
por: Arshad, Sannia, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_af12a9hj3numkt224j7u4o8rsf