Detection of neuron membranes in electron microscopy images using a serial neural network architecture

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Medical Image Anal.

• Publication date

  2010-12-01

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1016/j.media.2010.06.002PMID 20598935PMCID PMC2930201
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Using Sequential Context for Image Analysis

  2010influential reference
• Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

  2010cited by this paper
• Axon tracking in serial block-face scanning electron microscopy

  2009cited by this paper
• A Computational Framework for Ultrastructural Mapping of Neural Circuitry

  2009influential reference
• Automatic markup of neural cell membranes using boosted decision stumps

  2009influential reference
• Automation of 3D reconstruction of neural tissue from large volume of conventional serial section transmission electron micrographs.

  2009cited by this paper
• An optimal-path approach for neural circuit reconstruction

  2008influential reference
• Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification

  2008influential reference
• Auto-context and its application to high-level vision tasks

  2008influential reference
• Principal components for non-local means image denoising

  2008cited by this paper
• Contour-propagation algorithms for semi-automated reconstruction of neural processes.

  2008cited by this paper
• Multiscale Categorical Object Recognition Using Contour Fragments

  2008cited by this paper
• utomation of 3 D reconstruction of neural tissue from large volume of onventional serial section transmission electron micrographs

  2008influential reference
• Graph cut segmentation of neuronal structures from transmission electron micrographs

  2008cited by this paper
• Extreme retinal remodeling triggered by light damage: implications for age related macular degeneration

  2008cited by this paper
• Supervised Learning of Image Restoration with Convolutional Networks

  2007cited by this paper
• Neural reprogramming in retinal degeneration.

  2007cited by this paper
• The sensory circuitry for sexual attraction in C. elegans males.

  2007cited by this paper
• Untangling Cycles for Contour Grouping

  2007cited by this paper
• Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics

  2006cited by this paper
• Unsupervised, information-theoretic, adaptive image filtering for image restoration

  2006cited by this paper
• Combining Top-Down and Bottom-Up in Energy Policy Analysis: A Decomposition Approach

  2006cited by this paper
• Supervised Learning of Edges and Object Boundaries

  2006cited by this paper
• Towards neural circuit reconstruction with volume electron microscopy techniques.

  2006influential reference
• Unsupervised Texture Segmentation Using Multispectral Modelling Approach

  2006cited by this paper
• A non-local algorithm for image denoising

  2005cited by this paper
• Enhancement of cell boundaries in transmission electron microscopy images

  2005cited by this paper
• Scale-invariant contour completion using conditional random fields

  2005cited by this paper
• Retinal remodeling during retinal degeneration.

  2005cited by this paper
• Retinal remodelling

  2005cited by this paper
• Automatic Correction of Non-uniform Illumination in Transmission Electron Microscopy Images

  2005cited by this paper
• The Human Connectome: A Structural Description of the Human Brain

  2005cited by this paper
• Brain-Derived Neurotrophic Factor Induces Hyperexcitable Reentrant Circuits in the Dentate Gyrus

  2004cited by this paper
• Spectral grouping using the Nystrom method

  2004cited by this paper
• Combining Top-Down and Bottom-Up Segmentation

  2004cited by this paper
• Retinal remodeling triggered by photoreceptor degenerations

  2003cited by this paper
• Neural remodeling in retinal degeneration.

  2003cited by this paper
• Segmentation of Multiple Salient Closed Contours from Real Images

  2003cited by this paper
• Texture classification: are filter banks necessary?

  2003cited by this paper
• Seizure-Induced Axonal Sprouting: Assessing Connections between Injury, Local Circuits, and Epileptogenesis

  2002cited by this paper
• A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics

  2002cited by this paper
• Curvature-Augmented Tensor Voting for Shape Inference from Noisy 3D Data

  2002cited by this paper
• Synthesis of Research: Extending Unbiased Stereology of Brain Ultrastructure to Three-dimensional Volumes

  2001influential reference
• Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons

  2001influential reference
• Neural and Adaptive Systems: Fundamentals Through Simulations

  2001influential reference
• Constructing models for content-based image retrieval

  2001cited by this paper
• Adaptive Axonal Remodeling in the Midbrain Auditory Space Map

  2001cited by this paper
• Ectopic synaptogenesis in the mammalian retina caused by rod photoreceptor-specific mutations

  2000cited by this paper
• Overview on the structure, composition, function, development, and plasticity of hippocampal dendritic spines

  2000cited by this paper
• Segmenting neurons in electronic microscopy via geometric tracing

  1998cited by this paper
• Neural Networks: A Comprehensive Foundation

  1998cited by this paper
• Unsupervised Texture Segmentation

  1998cited by this paper
• A decision-theoretic generalization of on-line learning and an application to boosting

  1997cited by this paper
• Visual speech recognition by recurrent neural networks

  1997influential reference
• Vision-based robot positioning using neural networks

  1996influential reference
• Correlation between reactive sprouting and microtubule protein expression in epileptic hippocampus.

  1994cited by this paper
• Control of type-D GABAergic neuron differentiation by C. elegans UNC-30 homeodomain protein

  1994cited by this paper
• Contrast Limited Adaptive Histogram Equalization

  1994cited by this paper
• Knowledge-Based Training of Artificial Neural Networks for Autonomous Robot Driving

  1993cited by this paper
• Robot Learning

  1993cited by this paper
• Approximation capabilities of multilayer feedforward networks

  1991cited by this paper
• Extracting features from faces using compression networks: Face

  1990cited by this paper
• Contrast-limited adaptive histogram equalization: speed and effectiveness

  1990cited by this paper
• Approximation by superpositions of a sigmoidal function

  1989cited by this paper
• Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network

  1988cited by this paper
• The structure of the nervous system of the nematode Caenorhabditis elegans.

  1986influential reference

• Patient-specific modeling of blood flow in the coronary arteries

  2023cites this paper
• ScanEV - A neural network-based tool for the automated detection of extracellular vesicles in TEM images.

  2021cites this paper
• Microscopy images segmentation algorithm based on shearlet neural network

  2021cites this paper
• A neuron image segmentation method based Deep Boltzmann Machine and CV model

  2021cites this paper
• Detection and segmentation in microscopy images

  2021cites this paper
• Incremental Machine Learning Based Segmentation with Expert-in-the-Loop Workflow Using FIB-SEM Imagery

  2020cites this paper
• An adaptive genetic algorithm as a supporting mechanism for microscopy image analysis in a cascade of convolution neural networks

  2020cites this paper
• Deep multilevel contextual networks for biomedical image segmentation

  2020cites this paper
• Supervised machine learning for coronary artery lumen segmentation in intravascular ultrasound images

  2020cites this paper
• DenseUNet: densely connected UNet for electron microscopy image segmentation

  2020cites this paper
• MODEL ESTABLISHING THE POTENTIAL CLIENTS USING ARTIFICIAL NEURAL NETWORKS

  2020cites this paper
• Supervised Filter Learning for Coronary Artery Vesselness Enhancement Diffusion in Coronary CT Angiography Images

  2020cites this paper
• FCNN-based axon segmentation for convection-enhanced delivery optimization

  2019cites this paper
• Flexible Learning-Free Segmentation and Reconstruction of Neural Volumes

  2018cites this paper
• JUHO RUUSUNEN DEEP NEURAL NETWORKS FOR EVALUATING THE QUALITY OF TEMPERED GLASS

  2018cites this paper
• Flexible Learning-Free Segmentation and Reconstruction for Sparse Neuronal Circuit Tracing

  2018cites this paper
• Neuron Segmentation With High-Level Biological Priors

  2018cites this paper
• Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images

  2018cites this paper
• An Adversarial and Densely Dilated Network for Connectomes Segmentation

  2018influential citation
• Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration

  2017cites this paper
• Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection

  2017cites this paper
• Rapid identification of neuronal structures in electronic microscope image using novel combined multi-scale image features

  2017cites this paper
• Residual Deconvolutional Networks for Brain Electron Microscopy Image Segmentation

  2017cites this paper
• Detection of axonal synapses in 3D two-photon images

  2017cites this paper
• Transport Across Natural and Modified Biological Membranes and its Implications in Physiology and Therapy

  2017cites this paper
• Regmentation: A New View of Image Segmentation and Registration

  2017cites this paper
• Analysis, Recognition, and Classification of Biological Membrane Images.

  2017cites this paper
• Deep Contextual Networks for Neuronal Structure Segmentation

  2016cites this paper
• Towards Scalable Segmentation of 3D Image Stacks

  2016influential citation
• An efficient conditional random field approach for automatic and interactive neuron segmentation

  2016cites this paper
• Automated segmentation for connectomics utilizing higher-order biological priors

  2016cites this paper
• Contextual convolutional neural network filtering improves EM image segmentation

  2016cites this paper
• Multiscale Centerline Extraction Based on Regression and Projection onto the Set of Elongated Structures

  2016cites this paper
• Bag-of-Features in Microscopic Images Classification

  2016cites this paper
• Semantic Image Segmentation with Contextual Hierarchical Models

  2016cites this paper
• SegEM: Efficient Image Analysis for High-Resolution Connectomics.

  2015cites this paper
• Tracking Collagen Fibres through Image Volumes from SBFSEM

  2015cites this paper
• Medical Image Understanding and Analysis - MIUA 2015. 19th Annual Conference, University of Lincoln, Lincoln, UK, July 15-17, 2015

  2015cites this paper
• Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation

  2015cites this paper
• Tracking Collagen Fibres through Image Volumes from SBFSEM

  2015cites this paper
• An Iterative Convolutional Neural Network Algorithm Improves Electron Microscopy Image Segmentation

  2015influential citation
• Modeling brain circuitry over a wide range of scales

  2015cites this paper
• Hierarchical retinal blood vessel segmentation based on feature and ensemble learning

  2015cites this paper
• Extracellular space preservation aids the connectomic analysis of neural circuits

  2015cites this paper
• What Properties are Desirable from an Electron Microscopy Segmentation Algorithm

  2015cites this paper
• Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection

  2015cites this paper
• Automatic and interactive segmentations using deformable and graphical models

  2015cites this paper
• A Reliable Distributed Convolutional Neural Network for Biology Image Segmentation

  2015cites this paper
• Automated method for the segmentation and morphometry of nerve fibers in large-scale CARS images of spinal cord tissue.

  2014cites this paper
• A Context-Aware Delayed Agglomeration Framework for Electron Microscopy Segmentation

  2014cites this paper
• A two-layer structure prediction framework for microscopy cell detection

  2014influential citation
• Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes

  2014cites this paper
• Scene labeling with supervised contextual models

  2014cites this paper
• Reconstruction, Electron Microscopy

  2014cites this paper
• Image Segmentation for Connectomics Using Machine Learning

  2014cites this paper
• Computer Vision for Estimating Cooper Density by Optical Microscope Images

  2014cites this paper
• Local contrast hole filling algorithm for neura slices membrane detection — LCHF

  2014influential citation
• Input clustering and the microscale structure of local circuits

  2014influential citation
• A novel texture image segmentation model based on multi-scale structure

  2014cites this paper
• A model-based method for 3D reconstruction of cerebellar parallel fibres from high-resolution electron microscope images

  2014cites this paper
• two-layer structure prediction framework for microscopy ell detection

  2014cites this paper
• Spinal Cord Axon Segmentation

  2014cites this paper
• modular hierarchical approach to 3 D electron microscopy mage segmentation

  2014cites this paper
• Scene Labeling with Contextual Hierarchical Models

  2014cites this paper
• Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

  2013cites this paper
• Automatic Cell Detection in Bright-Field Microscope Images Using SIFT, Random Forests, and Hierarchical Clustering

  2013cites this paper
• Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks

  2013cites this paper
• Learning Context Cues for Synapse Segmentation

  2013influential citation
• Multi-Class Multi-Scale Series Contextual Model for Image Segmentation

  2013influential citation
• Machine Learning of Hierarchical Clustering to Segment 2D and 3D Images

  2013cites this paper
• DP2: Distributed 3D image segmentation using micro-labor workforce

  2013cites this paper
• Spin-context Segmentation of Breast Tissue Microarray Images

  2013cites this paper
• Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images

  2013cites this paper
• Hierarchical level features based trainable segmentation for electron microscopy images

  2013cites this paper
• Watershed merge forest classification for electron microscopy image stack segmentation

  2013cites this paper
• Instantaneous Cross-Correlation Analysis of Neural Ensembles with High Temporal Resolution

  2013cites this paper
• Scientific Analysis by the Crowd: A System for Implicit Collaboration between Experts, Algorithms, and Novices in Distributed Work.

  2013cites this paper
• Graphical model based segmentation of massive numbers of irregular small objects in images, with application to axon characterization in histological sections

  2013cites this paper
• A Hybrid Cnn-Rf Method for Electron Microscopy Images Segmentation

  2013cites this paper
• Synaptic vesicle cycle at nano-resolution

  2013cites this paper
• Biomedical Visual Computing: Case Studies and Challenges

  2012cites this paper
• Volume visualization in serial electron microscopy using local variance

  2012cites this paper
• Linear fuzzy space polygon based image segmentation and feature extraction

  2012cites this paper
• Learning Context Cues for Synapse Segmentation in EM Volumes

  2012cites this paper
• Automated Analysis of Biomedical Data from Low to High Resolution

  2012influential citation
• Automatic identification and quantitative morphometry of unstained spinal nerve using molecular hyperspectral imaging technology.

  2012cites this paper
• Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy Images

  2012influential citation
• Efficient automatic 3D-reconstruction of branching neurons from EM data

  2012cites this paper
• 3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries

  2012cites this paper
• Retinal implants: emergence of a multidisciplinary field.

  2012cites this paper
• Contextual grouping in a concept : a multistage decision strategy for EM segmentation

  2012cites this paper
• Visualization in Connectomics

  2012cites this paper
• Method: automatic segmentation of mitochondria utilizing patch classification, contour pair classification, and automatically seeded level sets

  2012cites this paper
• Building retinal connectomes.

  2012cites this paper
• Tumour segmentation in breast tissue microarray images using spin-context

  2012cites this paper
• Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features

  2012cites this paper
• Non-uniform deformable volumetric objects for medical organ segmentation and registration

  2012cites this paper
• Watershed merge tree classification for electron microscopy image segmentation

  2012cites this paper
• Reconstruction of 3d neuronal structures from densely packed electron microscopy data stacks

  2011cites this paper
• Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images

  2011cites this paper