Corrigendum: A more objective PD diagnostic model: integrating texture feature markers of cerebellar gray matter and white matter through machine learning. [PDF]
Chen Y +6 more
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A novel breast cancer image classification model based on multiscale texture feature analysis and dynamic learning. [PDF]
Guo J +6 more
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A more objective PD diagnostic model: integrating texture feature markers of cerebellar gray matter and white matter through machine learning. [PDF]
Chen Y +6 more
europepmc +1 more source
Texture Feature-Based Classification on Transrectal Ultrasound Image for Prostatic Cancer Detection. [PDF]
Huang X, Chen M, Liu P, Du Y.
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Differential Diagnosis of Solitary Fibrous Tumor/Hemangiopericytoma and Angiomatous Meningioma Using Three-Dimensional Magnetic Resonance Imaging Texture Feature Model. [PDF]
Dong J +10 more
europepmc +1 more source
Caries detection enhancement using texture feature maps of intraoral radiographs. [PDF]
Obuchowicz R +4 more
europepmc +1 more source
A Novel Intelligent System for Brain Tumor Diagnosis Based on a Composite Neutrosophic-Slantlet Transform Domain for Statistical Texture Feature Extraction. [PDF]
Wady SH, Yousif RZ, Hasan HR.
europepmc +1 more source
Correlation of texture feature analysis with bone marrow infiltration in initial staging of patients with lymphoma using 18F-fluorodeoxyglucose positron emission tomography combined with computed tomography. [PDF]
Kenawy MA +3 more
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Three-Dimensional Texture Feature Analysis of Pulmonary Nodules in CT Images: Lung Cancer Predictive Models Based on Support Vector Machine Classifier. [PDF]
Gao N +8 more
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Texture Classification Using Texture-based Feature Extraction Algorithms
Texture is one of the significant characteristics used in identifying objects of interest or regions in an image. Texture is an important characteristic of surface property in visual scenes and is a power cue in visual perception. The real applications of texture classification are remote sensing, medical imaging, industrial inspection and pattern ...
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