software version 2015a (MathWorks Inc)
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MathWorks Inc
software version 2015a
Software Version 2015a, 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/version+2015a+software/pm36626074-136-15-4
Average 90 stars, based on 1 article reviews
Software Version 2015a, 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/version+2015a+software/pm36626074-136-15-4
Average 90 stars, based on 1 article reviews
software version 2015a - by Bioz Stars,
2026-09
90/100 stars
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Software:Article Title: Shear Wave Ultrasound Elastographic Evaluation of the Rotator Cuff Tendon. Article Snippet: Methods—Institutional Review Board approval and informed consent were obtained.. A retrospective review identified 21 studies in 19 eligible patients for whom SWE was performed during routine sonographic evaluations for shoulder pain.. Evaluations were compared with 55 studies from 16 asymptomatic volunteers and 6 patients with asymptomatic contralateral shoulders. Article Title: OCT-Derived Radiomic Features Predict Anti–VEGF Response and Durability in Neovascular Age-Related Macular Degeneration Article Snippet: .. Texture-based radiomic features are extracted from the individual OCT and retinal tissue compartments using |
![Overall computational workflow of the radiomic-based assessment of response to anti–VEGF therapy in patients with neovascular age-related macular degeneration using baseline OCT scans. The first step involves identifying and segmenting the OCT compartments (fluid and subretinal hyperreflective material [SHRM]) and the retinal tissue compartments (internal limiting membrane [ILM]-retinal pigment epithelium [RPE], and RPE–Bruch’s membrane [BM]). Texture-based radiomic features are extracted from the individual OCT and retinal tissue compartments using MATLAB version <t>2015a</t> software. Feature statistics, which included median, standard deviation, skewness, and kurtosis, were calculated for each of the individual compartments. The top 8 features were determined using the minimum redundancy maximum relevance feature selection algorithm, followed by classification using 3-fold cross-validation. Unsupervised hierarchical clustering also was performed. EZ = ellipsoid zone.](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_4979/pmc09754979/pmc09754979__gr1.jpg)