ArticleData in brief2019
Data on MRI brain lesion segmentation using K-means and Gaussian Mixture Model-Expectation Maximization.
Article in Data in brief, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Improving Skin Lesion Diagnosis: A Hybrid Approach Using Orthogonal Combination of Local Binary Pattern Features and Ensemble Learning for Diagnostic Accuracy.Journal of medical signals and sensors · 2026Article
- Alzheimer Disease, Vascular Disease, and Blood-Brain Barrier Permeability Biomarkers in Middle-Aged Adults.Neurology · 2025Article
- Alzheimer's disease diagnostic progression is associated with cerebrovascular disease and neuroinflammation in adults with Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Estimation of the Ischemic Lesion in the Experimental Stroke Studies Using Magnetic Resonance Imaging (Review).Bulletin of experimental biology and medicine · 2024Review
- Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment Using Convolutional Neural Networks.Journal of Alzheimer's disease reports · 2024Article
- Cerebrovascular disease is associated with Alzheimer's plasma biomarker concentrations in adults with Down syndrome.Brain communications · 2024Article
- Cerebrovascular disease drives Alzheimer plasma biomarker concentrations in adults with Down syndrome.medRxiv : the preprint server for health sciences · 2023Article
- Ambient air pollutants concentration prediction during the COVID-19: A method based on transfer learning.Knowledge-based systems · 2022Article
- Image Features of Resting-State Functional Magnetic Resonance Imaging in Evaluating Poor Emotion and Sleep Quality in Patients with Chronic Pain under Artificial Intelligence Algorithm.Contrast media & molecular imaging · 2022Article
- Semiautomatic assessment of respiratory dynamics using cine MRI in chronic obstructive pulmonary disease.European journal of radiology open · 2022Article
- Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges.Diagnostics (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The data in this article provide details about MRI lesion segmentation using K-means and Gaussian Mixture Model-Expectation Maximization (GMM-EM) algorithms. Both K-means and GMM-EM algorithms can segment lesion area from the rest of brain MRI automatically. The performance metrics (accuracy, sensitivity, specificity, false positive rate, misclassification rate) were estimated for the algorithms and there was no significant difference between K-means and GMM-EM. In addition, lesion size does not affect the accuracy and sensitivity for either method.
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Registered trials
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