Cargando…

Segmentation of Endothelial Cell Boundaries of Rabbit Aortic Images Using a Machine Learning Approach

This paper presents an automatic detection method for thin boundaries of silver-stained endothelial cells (ECs) imaged using light microscopy of endothelium mono-layers from rabbit aortas. To achieve this, a segmentation technique was developed, which relies on a rich feature space to describe the s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Iftikhar, Saadia, Bond, Andrew R., Wagan, Asim I., Weinberg, Peter D., Bharath, Anil A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2011
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132519/ https://www.ncbi.nlm.nih.gov/pubmed/21760766 http://dx.doi.org/10.1155/2011/270247

Ejemplares similares

Learning to detect boundary information for brain image segmentation
por: Khaled, Afifa, et al.
Publicado: (2022)

Convolutional autoencoder joint boundary and mask adversarial learning for fundus image segmentation
por: Zhang, Xu, et al.
Publicado: (2022)

Role of endothelial permeability hotspots and endothelial mitosis in determining age-related patterns of macromolecule uptake by the rabbit aortic wall near branch points
por: Chooi, K. Yean, et al.
Publicado: (2016)

A coarse-to-fine approach to prostate boundary segmentation in ultrasound images
por: Sahba, Farhang, et al.
Publicado: (2005)

Mass Transport Properties of the Rabbit Aortic Wall
por: Bailey, Emma L., et al.
Publicado: (2015)

Modeling second-order boundary perception: A machine learning approach
por: DiMattina, Christopher, et al.
Publicado: (2019)

CT Image Segmentation Using FEM with Optimized Boundary Condition
por: Hishida, Hiroyuki, et al.
Publicado: (2012)

Prediction of thermal boundary resistance by the machine learning method
por: Zhan, Tianzhuo, et al.
Publicado: (2017)

Open Boundary Modeling in Molecular Dynamics with Machine Learning
por: Neumann, Philipp, et al.
Publicado: (2020)

Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Deep Learning
por: Kugelman, Jason, et al.
Publicado: (2020)

Intraoperative thermal infrared imaging in neurosurgery: machine learning approaches for advanced segmentation of tumors
por: Cardone, Daniela, et al.
Publicado: (2023)

Retinal layer segmentation of macular OCT images using boundary classification
por: Lang, Andrew, et al.
Publicado: (2013)

An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation
por: Wang, Wei, et al.
Publicado: (2021)

Structure boundary-preserving U-Net for prostate ultrasound image segmentation
por: Bi, Hui, et al.
Publicado: (2022)

Choroidal layer segmentation in OCT images by a boundary enhancement network
por: Wu, Wenjun, et al.
Publicado: (2022)

Segmentation and Classification of Heart Angiographic Images Using Machine Learning Techniques
por: Abdullah,, et al.
Publicado: (2021)

Image Segmentation under the Optimization Algorithm of Krill Swarm and Machine Learning
por: Geng, Qiang, et al.
Publicado: (2022)

Unicode-8 based linguistics data set of annotated Sindhi text
por: Dootio, Mazhar Ali, et al.
Publicado: (2018)

MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation
por: Mecheter, Imene, et al.
Publicado: (2020)

Deep learning‐based carotid media‐adventitia and lumen‐intima boundary segmentation from three‐dimensional ultrasound images
por: Zhou, Ran, et al.
Publicado: (2019)

Segmentation of the Clustered Cells with Optimized Boundary Detection in Negative Phase Contrast Images
por: Wang, Yuliang, et al.
Publicado: (2015)

Predicting phase behavior of grain boundaries with evolutionary search and machine learning
por: Zhu, Qiang, et al.
Publicado: (2018)

Atomistic and machine learning studies of solute segregation in metastable grain boundaries
por: Mahmood, Yasir, et al.
Publicado: (2022)

Machine Learning of Hierarchical Clustering to Segment 2D and 3D Images
por: Nunez-Iglesias, Juan, et al.
Publicado: (2013)

Fully 3D Active Surface with Machine Learning for PET Image Segmentation
por: Comelli, Albert
Publicado: (2020)

Center-environment feature models for materials image segmentation based on machine learning
por: Han, Yuexing, et al.
Publicado: (2022)

Volumetric Segmentation of Cell Cycle Markers in Confocal Images Using Machine Learning and Deep Learning
por: Khan, Faraz Ahmad, et al.
Publicado: (2020)

Deep learning for the rapid automatic segmentation of forearm muscle boundaries from ultrasound datasets
por: Xin, Chen, et al.
Publicado: (2023)

Guided interactive image segmentation using machine learning and color-based image set clustering
por: Friebel, Adrian, et al.
Publicado: (2022)

Glioma Grading via Analysis of Digital Pathology Images Using Machine Learning
por: Rathore, Saima, et al.
Publicado: (2020)

Evaluation of Commonly Used Algorithms for Thyroid Ultrasound Images Segmentation and Improvement Using Machine Learning Approaches
por: Poudel, Prabal, et al.
Publicado: (2018)

Quantifying root colonization by a symbiotic fungus using automated image segmentation and machine learning approaches
por: Sciascia, Ivan, et al.
Publicado: (2023)

Segmenting surface boundaries using luminance cues
por: DiMattina, Christopher, et al.
Publicado: (2021)

Identifying Those at Risk of Glaucoma: A Deep Learning Approach for Optic Disc and Cup Segmentation and Their Boundary Analysis
por: Kim, Jongwoo, et al.
Publicado: (2022)

Magnetic Resonance Imaging Segmentation on the Basis of Boundary Tracking Algorithm in Lung Cancer Surgery
por: Liu, Chengmin, et al.
Publicado: (2021)

Boundary Aware Semantic Segmentation using Pyramid-dilated Dense U-Net for Lung Segmentation in Computed Tomography Images
por: Agnes, S. Akila
Publicado: (2023)

The effect of inlet and outlet boundary conditions in image-based CFD modeling of aortic flow
por: Madhavan, Sudharsan, et al.
Publicado: (2018)

Effective Image Processing and Segmentation-Based Machine Learning Techniques for Diagnosis of Breast Cancer
por: Chaudhury, Sushovan, et al.
Publicado: (2022)

Application of Machine Learning for Segmentation of the Pulmonary Acinus Imaged by Synchrotron X-Ray Tomography
por: Arsic, Branko, et al.
Publicado: (2023)

A segmentation model to detect cevical lesions based on machine learning of colposcopic images
por: Li, Zhen, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_dp1fk7a3i3u50l5nk29d3aiv6h