Brain tissue classification method for clinical decision-support systems

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Engineering applications of artificial intelligence

• Publication date

  2017-09-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1016/j.engappai.2017.05.015
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices

  2017influential reference
• An Ensemble-of-Classifiers Based Approach for Early Diagnosis of Alzheimer's Disease: Classification Using Structural Features of Brain Images

  2014influential reference
• Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review.

  2014influential reference
• Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms

  2013cited by this paper
• The Cognitive Process and Formal Models of Human Attentions

  2013cited by this paper
• Automatic statistical shape analysis of cerebral asymmetry in 3D T1-weighted magnetic resonance images at vertex-level: application to neuroleptic-naïve schizophrenia.

  2013cited by this paper
• Towards robust and effective shape modeling: Sparse shape composition

  2012cited by this paper
• Novel whole brain segmentation and volume estimation using quantitative MRI

  2012cited by this paper
• Stochastic Continuous Petri Nets: An Approximation of Markovian Net Models

  2012cited by this paper
• The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception

  2012influential reference
• The future of ultra-high field MRI and fMRI for study of the human brain

  2012influential reference
• Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade.

  2010cited by this paper
• A Hybrid Geometric–Statistical Deformable Model for Automated 3-D Segmentation in Brain MRI

  2009influential reference
• Brain morphometry with multiecho MPRAGE

  2008cited by this paper
• MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls

  2008cited by this paper
• Automatic classification of MR scans in Alzheimer's disease.

  2008cited by this paper
• Brain MRI Tissue Classification using Graph Cut Optimization of the Mumford-Shah Functional

  2007influential reference
• Current Methods in the Automatic Tissue Segmentation of 3D Magnetic Resonance Brain Images

  2006cited by this paper
• User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability

  2006cited by this paper
• An introduction to ROC analysis

  2006cited by this paper
• Statistical Comparisons of Classifiers over Multiple Data Sets

  2006cited by this paper
• Statistical parametric mapping of brain morphology: Sensitivity is dramatically increased by using brain-extracted images as inputs

  2006cited by this paper
• A locally constrained watershed transform

  2006cited by this paper
• Twenty New Digital Brain Phantoms for Creation of Validation Image Data Bases

  2006influential reference
• Unified segmentation

  2005cited by this paper
• Unsupervised segmentation based on robust estimation and color active contour models

  2005cited by this paper
• Current Methods in the Automatic Tissue Segmentation of 3 D Magnetic Resonance Brain Images

  2005cited by this paper
• K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation

  2005cited by this paper
• A hybrid approach to the skull stripping problem in MRI

  2004cited by this paper
• Advances in functional and structural MR image analysis and implementation as FSL.

  2004cited by this paper
• Deformation-based surface morphometry applied to gray matter deformation

  2003cited by this paper
• Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate

  2002cited by this paper
• Mild cognitive impairment represents early-stage Alzheimer disease.

  2001cited by this paper
• Multimodal image coregistration and partitioning--a unified framework.

  1997cited by this paper
• The Clinical Dementia Rating (CDR)

  1993cited by this paper
• A Threshold Selection Method from Gray-Level Histograms

  1979cited by this paper

• Improving Alzheimer’s Disease Detection with Transfer Learning

  2025cites this paper
• A Modified Expectation-Maximization Approach for HMRF-Based Brain MRI Classification

  2025cites this paper
• An atlas of classifiers—a machine learning paradigm for brain MRI segmentation

  2021cites this paper
• Heterogeneous Tumor Detection and Tissue Segmentation in Magnetic Resonance Brain Images Using Clustering and Optimization Techniques

  2019cites this paper
• Detection of Dementia from Brain Tissues Variation in MR Images Using Minimum Cross-Entropy Based Crow Search Algorithm and Structure Tensor Features

  2019cites this paper
• Multi-channeled MR brain image segmentation: A novel double optimization approach combined with clustering technique for tumor identification and tissue segmentation

  2019cites this paper
• Multi-channeled MR brain image segmentation: A new automated approach combining BAT and clustering technique for better identification of heterogeneous tumors

  2019cites this paper
• An Innovative Model for Detecting Brain Tumors and Glioblastoma Multiforme Disease Patterns

  2017cites this paper
• An Efficient Hybridization Approach for Tissue Segmentation and Classification in Brain MRI Images

  year unknowncites this paper