UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Cascade Residual Multiscale Convolution and Mamba-Structured UNet for Advanced Brain Tumor Image Segmentation

Entropy (Basel, Switzerland), 2024-05, Vol.26 (5), p.385

2024

Volltextzugriff (PDF)

Constrained Gaussian mixture model framework for automatic segmentation of MR brain images

IEEE transactions on medical imaging, 2006-09, Vol.25 (9), p.1233-1245

2006

Volltextzugriff (PDF)

White Matter, Gray Matter and Cerebrospinal Fluid Segmentation from Brain Magnetic Resonance Imaging Using Adaptive U-Net and Local Convolutional Neural Network

Computer journal, 2022-12, Vol.65 (12), p.3081-3090

2022

Volltextzugriff (PDF)

Brain Magnetic Resonance Imaging Segmentation Using Possibilistic Clustering Algorithm Combined with Context Constraints

Journal of medical imaging and health informatics, 2020-07, Vol.10 (7), p.1669-1674

2020

Volltextzugriff (PDF)

Non-local-based spatially constrained hierarchical fuzzy C-means method for brain magnetic resonance imaging segmentation

IET image processing, 2016-11, Vol.10 (11), p.865-876

2016

Volltextzugriff (PDF)

An atlas-free newborn brain image segmentation and classification scheme based on SOM-DCNN with sparse auto encoder

Computer methods in biomechanics and biomedical engineering., 2020-01, Vol.8 (1), p.49-64

2020

Volltextzugriff (PDF)

MR imaging enhancement and segmentation of tumor using fuzzy curvelet

African journal of business management, 2011-11, Vol.6 (31)

M. Arfan Jaffar

2011

Volltextzugriff (PDF)

Deep Learning-Based Segmentation and Classification Techniques for Brain Tumor MRI: A Review

Journal of Engineering, 2022-12, Vol.28 (12), p.93-112

2022

Volltextzugriff (PDF)

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

IEEE transactions on medical imaging, 2020-06, Vol.39 (6), p.1856-1867

2020

Volltextzugriff (PDF)

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

IEEE transactions on medical imaging, 2018-07, Vol.37 (7), p.1562-1573

2018

Volltextzugriff (PDF)

DRINet for Medical Image Segmentation

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2453-2462

2018

Volltextzugriff (PDF)

Brain tumor segmentation with Deep Neural Networks

Medical image analysis, 2017-01, Vol.35, p.18-31

2017

Volltextzugriff (PDF)

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

Journal of digital imaging, 2017-08, Vol.30 (4), p.449-459

2017

Volltextzugriff (PDF)

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

IEEE transactions on pattern analysis and machine intelligence, 2019-07, Vol.41 (7), p.1559-1572

2019

Volltextzugriff (PDF)

Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging

IEEE transactions on medical imaging, 2017-11, Vol.36 (11), p.2319-2330

2017

Volltextzugriff (PDF)

Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images

IEEE transactions on medical imaging, 2018-08, Vol.37 (8), p.1943-1954

2018

Volltextzugriff (PDF)

Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019

Pattern recognition letters, 2020-03, Vol.131, p.244-260

2020

Volltextzugriff (PDF)

Methods on Skull Stripping of MRI Head Scan Images—a Review

Journal of Digital Imaging, 2016-06, Vol.29 (3), p.365-379

2016

Volltextzugriff (PDF)

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools

Computers in biology and medicine, 2023-01, Vol.152, p.106405-106405, Article 106405

2023

Volltextzugriff (PDF)

3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework

BMC medical imaging, 2022-01, Vol.22 (1), p.6-6, Article 6

2022

Volltextzugriff (PDF)

Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets

IEEE transactions on medical imaging, 2018-09, Vol.37 (9), p.2149-2160

2018

Volltextzugriff (PDF)

Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities

IEEE transactions on image processing, 2021-01, Vol.30, p.4263-4274

2021

Volltextzugriff (PDF)

Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications

IEEE transactions on medical imaging, 2012-03, Vol.31 (3), p.790-804

2012

Volltextzugriff (PDF)

Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning

Radiation oncology (London, England), 2020-05, Vol.15 (1), p.100-10, Article 100

2020

Volltextzugriff (PDF)

Multi-Domain Image Completion for Random Missing Input Data

IEEE transactions on medical imaging, 2021-04, Vol.40 (4), p.1113-1122

2021

Volltextzugriff (PDF)

1 – 25 von 6.041

Suche als RSS-Feed

Aktive Filter

ThemaSegmentation

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(3.445)
Mit Volltextzugriff
(4.723)

Publikationsform

3 weitere anzeigen...

Weniger anzeigen...

Sprache

2 weitere anzeigen...

Weniger anzeigen...

Erscheinungsjahr

n.n

Thema

Image Segmentation
(4.667)
Science & Technology
(4.296)
Magnetic Resonance Imaging
(3.753)
Brain
(3.437)
Technology
(3.021)
Medical Imaging
(2.589)
Life Sciences & Biomedicine
(2.418)
Computer Science
(2.137)
Engineering
(2.102)
Algorithms
(1.952)
Tumors
(1.769)
Humans
(1.712)
Radiology, Nuclear Medicine & Medical Imaging
(1.663)
Brain Cancer
(1.374)
Image Processing
(1.322)
Deep Learning
(1.233)
Engineering, Biomedical
(1.152)
Engineering, Electrical & Electronic
(1.122)
Machine Learning
(1.054)
Neuroimaging
(1.020)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

Ieee Transactions On Medical Imaging
(209)
Medical Physics
(106)
Medical Image Analysis
(105)
Ieee Access
(101)
Computers In Biology And Medicine
(96)
Neuroimage
(87)
International Journal Of Imaging Systems And Technology
(85)
Plos One
(85)
Multimedia Tools And Applications
(83)
Human Brain Mapping
(65)

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

Cascade Residual Multiscale Convolution and Mamba-Structured UNet for Advanced Brain Tumor Image Segmentation

Constrained Gaussian mixture model framework for automatic segmentation of MR brain images

White Matter, Gray Matter and Cerebrospinal Fluid Segmentation from Brain Magnetic Resonance Imaging Using Adaptive U-Net and Local Convolutional Neural Network

Brain Magnetic Resonance Imaging Segmentation Using Possibilistic Clustering Algorithm Combined with Context Constraints

Non-local-based spatially constrained hierarchical fuzzy C-means method for brain magnetic resonance imaging segmentation

An atlas-free newborn brain image segmentation and classification scheme based on SOM-DCNN with sparse auto encoder

MR imaging enhancement and segmentation of tumor using fuzzy curvelet

Deep Learning-Based Segmentation and Classification Techniques for Brain Tumor MRI: A Review

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

DRINet for Medical Image Segmentation

Brain tumor segmentation with Deep Neural Networks

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging

Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images

Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019

Methods on Skull Stripping of MRI Head Scan Images—a Review

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools

3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework

Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets

Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities

Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications

Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning

Multi-Domain Image Completion for Random Missing Input Data

Aktive Filter

Suchergebnisse filtern