public matlab code provided by botev (function:kde) Search Results


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MathWorks Inc public matlab code provided by botev (function:kde)
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MathWorks Inc built-in matlab function kde.m
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MathWorks Inc two-dimensional kernel density estimation
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MathWorks Inc modified version of botev's matlab implementation of two-dimensional kde
Measurements for all analyzed colon tumor samples In this table, various automatic measurements are listed for all 11 analyzed colon tumor whole slide images. A blinded observer delineated primary and secondary hotspots in image 1 to 10. Image 0 was not evaluated because the observer had seen it before. In the last two columns, the proportion of these hotspots also detected by automatic analysis is listed. Abbreviations: HS = hotspot, MVD = microvascular density, SD = standard deviation, <t> KDE </t> = <t> kernel density estimation, </t> xbar = column mean, n.d. = not determined
Modified Version Of Botev's Matlab Implementation Of Two Dimensional Kde, 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
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MathWorks Inc bivariate kernel density estimator
Measurements for all analyzed colon tumor samples In this table, various automatic measurements are listed for all 11 analyzed colon tumor whole slide images. A blinded observer delineated primary and secondary hotspots in image 1 to 10. Image 0 was not evaluated because the observer had seen it before. In the last two columns, the proportion of these hotspots also detected by automatic analysis is listed. Abbreviations: HS = hotspot, MVD = microvascular density, SD = standard deviation, <t> KDE </t> = <t> kernel density estimation, </t> xbar = column mean, n.d. = not determined
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Measurements for all analyzed colon tumor samples In this table, various automatic measurements are listed for all 11 analyzed colon tumor whole slide images. A blinded observer delineated primary and secondary hotspots in image 1 to 10. Image 0 was not evaluated because the observer had seen it before. In the last two columns, the proportion of these hotspots also detected by automatic analysis is listed. Abbreviations: HS = hotspot, MVD = microvascular density, SD = standard deviation,  KDE  =  kernel density estimation,  xbar = column mean, n.d. = not determined

Journal: Oncotarget

Article Title: Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images

doi:

Figure Lengend Snippet: Measurements for all analyzed colon tumor samples In this table, various automatic measurements are listed for all 11 analyzed colon tumor whole slide images. A blinded observer delineated primary and secondary hotspots in image 1 to 10. Image 0 was not evaluated because the observer had seen it before. In the last two columns, the proportion of these hotspots also detected by automatic analysis is listed. Abbreviations: HS = hotspot, MVD = microvascular density, SD = standard deviation, KDE = kernel density estimation, xbar = column mean, n.d. = not determined

Article Snippet: Using a modified version of Botev's Matlab implementation of two-dimensional KDE, the same bandwidth was used for KDE of the random pattern in Ω i yielding the CSR density function ρ CSR ( x , y ) .

Techniques: Standard Deviation