CrossRef Text and Data Mining
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Texture, Morphology, and Statistical Analysis to Differentiate Primary Brain Tumors on Two-Dimensional Magnetic Resonance Imaging Scans Using Artificial Intelligence Techniques
Subrata Bhattacharjee, Deekshitha Prakash, Cho-Hee Kim, Hee-Cheol Kim, Heung-Kook Choi
Healthc Inform Res. 2022;28(1):46-57.   Published online January 31, 2022
DOI: https://doi.org/10.4258/hir.2022.28.1.46

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Texture, Morphology, and Statistical Analysis to Differentiate Primary Brain Tumors on Two-Dimensional Magnetic Resonance Imaging Scans Using Artificial Intelligence Techniques
Healthcare Informatics Research. 2022;28(1):46-57   Crossref logo
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Normal appearing brain white matter changes in relapsing multiple sclerosis: Texture image and classification analysis in serial MRI scans
Magnetic Resonance Imaging. 2020;73:192-202   Crossref logo
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Cellular imaging and texture analysis distinguish differences in cellular dynamics in mouse brain tumors
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MRI texture analysis on texture test objects, normal brain and intracranial tumors
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Supervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopy
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Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans
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IX. MR tissue characterization of intracranial tumors by means of texture analysis
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Deep learning based-classification of dementia in magnetic resonance imaging scans
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Texture analysis of MR image for predicting the firmness of Huanghua pears (Pyrus pyrifolia Nakai, cv. Huanghua) during storage using an artificial neural network
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Preoperative fast MRI of brain tumors using three-dimensional segmented echo planar imaging compared to three-dimensional gradient echo technique
Magnetic Resonance Imaging. 2000;18(6):635-640   Crossref logo
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