low-pass gaussian filter library Search Results


3d low pass gaussian filter  (GE Healthcare)
99
GE Healthcare 3d low pass gaussian filter
3d Low Pass Gaussian Filter, supplied by GE Healthcare, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/3d low pass gaussian filter/product/GE Healthcare
Average 99 stars, based on 1 article reviews
3d low pass gaussian filter - by Bioz Stars, 2026-05
99/100 stars
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constrained 3d gaussian low pass filter  (SCANCO USA INC)
90
SCANCO USA INC constrained 3d gaussian low pass filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Constrained 3d Gaussian Low Pass Filter, supplied by SCANCO USA 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/result/constrained 3d gaussian low pass filter/product/SCANCO USA INC
Average 90 stars, based on 1 article reviews
constrained 3d gaussian low pass filter - by Bioz Stars, 2026-05
90/100 stars
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3 × 3 gaussian low pass filter  (MetaMorph Inc)
90
MetaMorph Inc 3 × 3 gaussian low pass filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
3 × 3 Gaussian Low Pass Filter, supplied by MetaMorph 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/result/3 × 3 gaussian low pass filter/product/MetaMorph Inc
Average 90 stars, based on 1 article reviews
3 × 3 gaussian low pass filter - by Bioz Stars, 2026-05
90/100 stars
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low-pass gaussian filter  (Horien International Co Ltd)
90
Horien International Co Ltd low-pass gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Low Pass Gaussian Filter, supplied by Horien International Co Ltd, 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/result/low-pass gaussian filter/product/Horien International Co Ltd
Average 90 stars, based on 1 article reviews
low-pass gaussian filter - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

Image Search Results


Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification 3D coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the Gaussian fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.

Journal: bioRxiv

Article Title: Large-scale quantification of human osteocyte lacunar morphological biomarkers as assessed by ultra-high-resolution desktop micro-computed tomography

doi: 10.1101/2021.01.05.425223

Figure Lengend Snippet: Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification 3D coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the Gaussian fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.

Article Snippet: Preprocessing of each image consisted of a constrained 3D Gaussian low pass filter (σ=0.8, support =1) to reduce noise and was applied using IPL (Scanco Medical AG, Brüttisellen, Switzerland).

Techniques: Selection, Micro-CT