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svm classifier-based matlab tool r2015b  (MathWorks Inc)


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    MathWorks Inc svm classifier-based matlab tool r2015b
    Svm Classifier Based Matlab Tool R2015b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/svm-based+classifiers/pmc06463870-154-9-11
    Average 90 stars, based on 1 article reviews
    svm classifier-based matlab tool r2015b - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Abnormal phase-amplitude coupling in patients with first-episode schizophrenia during the auditory steady-state response and resting states.
    Article Snippet: The auditory steady-state response (ASSR) is a robust index for schizophrenia.. Abnormal phase-amplitude coupling (PAC) in schizophrenia might be influenced by the confounding factors of illness stages and antipsychotic treatments.. To exclude the effects of confounding factors, we examined abnormal PAC in antipsychotic-naïve patients with first-episode schizophrenia (FES) during the ASSR.

    Article Title: eFigure 1. Participant Recruitment and Flow Summary eFigure 2. Effects of Kisspeptin Administration on Hormone Levels eFigure 3. Effects of Kisspeptin Administration on Sexual Arousal and Desire Inventory Scores eFigure 4. Effects of Kisspeptin Administration on Positive and Negative Mood, Anxiety, and Nonsexual Attention eFigure 5. Effects of Kisspeptin Administration on Blood Pressure and Heart Rate Measurements eFigure 6. Group Mean Analysis for Main Effects of the Short Videos Task in All Participants and Both Treatments (Kisspeptin and Placebo) Demonstrating Effective Task Design eFigure 7. Group Mean Analysis for Brain Areas Associated With Increasing Penile Tumescence During the Long
    Article Snippet: Data from the penile tumescence device recorded during the long video scan was processed using custom MATLAB (R2015b; Mathworks Ltd.) code.

    Article Title: Comparison of ADMIRE, SAFIRE, and Filtered Back Projection in Standard and Low-Dose Non-Enhanced Head CT.
    Article Snippet: Image noise analysis was performed with MATLAB R2015b (The MathWorks, Inc., Natick, MA, USA).

    Article Title: Stress-Induced Responses in Conscious Movement Processing and Walking Behaviour in Older Adults.
    Article Snippet: All calculations were conducted through a customised processing programme written in the MATLAB (R2015b, MathWorks Inc., USA).

    Article Title: Analysis of Gunshot Residue from Nontoxic Ammunition by Laser-Induced Breakdown Spectroscopy and Machine Learning Algorithms
    Article Snippet: 25 Gunshot residue (GSR) is defined as particles generated upon the discharge of 26 ammunition from a firearm.. The main components of ammunition include the primer, 27 cartridge case, and bullet.. GSR particles originated from a combination of these 28 components as well as from internal firearm parts.

    Software:

    Article Title: A Review of Current Cell Annotation Systems for Histopathology Images
    Article Snippet: .. The Quanti.us software was written using custom code in Matlab R2015b and built with Python 2.7 and Django 1.11. .. A comprehensive Matlab pipeline, including instructions and example images, which covers automated image pre-processing for uploading to Quanti.us, as well as several annotation post-processing and overlay options, is publicly available at https://github.com/quantius-science/.



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    Image Search Results


    Summary of studies applying radiomics for renal tumor differentiation.

    Journal: Cancers

    Article Title: Radiomics Applications in Renal Tumor Assessment: A Comprehensive Review of the Literature

    doi: 10.3390/cancers12061387

    Figure Lengend Snippet: Summary of studies applying radiomics for renal tumor differentiation.

    Article Snippet: Kocak et al. 2018 [ ] , , Three-phasic CECT , 68 RCC patients , , , , , 5.9 (3.3–8.1) , 5.9 (2.0–12.3) , ANN and ML-based SVM classifiers , 275 texture features extracted: , Distinguishing the three main RCC subtypes.

    Techniques: Imaging, Comparison, Biomarker Discovery, Extraction, Diagnostic Assay, Mutagenesis, Selection

    Summary of studies applying radiomics to predict nuclear grade in ccRCC.

    Journal: Cancers

    Article Title: Radiomics Applications in Renal Tumor Assessment: A Comprehensive Review of the Literature

    doi: 10.3390/cancers12061387

    Figure Lengend Snippet: Summary of studies applying radiomics to predict nuclear grade in ccRCC.

    Article Snippet: Kocak et al. 2018 [ ] , , Three-phasic CECT , 68 RCC patients , , , , , 5.9 (3.3–8.1) , 5.9 (2.0–12.3) , ANN and ML-based SVM classifiers , 275 texture features extracted: , Distinguishing the three main RCC subtypes.

    Techniques: Imaging, Biomarker Discovery, Selection, Filtration, Diffusion-based Assay, Variant Assay, Transformation Assay, Comparison

    Summary of studies applying radiomics and gene expression-based models to predict progression in ccRCC.

    Journal: Cancers

    Article Title: Radiomics Applications in Renal Tumor Assessment: A Comprehensive Review of the Literature

    doi: 10.3390/cancers12061387

    Figure Lengend Snippet: Summary of studies applying radiomics and gene expression-based models to predict progression in ccRCC.

    Article Snippet: Kocak et al. 2018 [ ] , , Three-phasic CECT , 68 RCC patients , , , , , 5.9 (3.3–8.1) , 5.9 (2.0–12.3) , ANN and ML-based SVM classifiers , 275 texture features extracted: , Distinguishing the three main RCC subtypes.

    Techniques: Expressing, Functional Assay, RNA Sequencing, Microarray, Gene Expression, Histopathology, Construct