matlab toolbox scixminer Search Results


source data mining matlab toolbox scixminer  (MathWorks Inc)
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Source Data Mining Matlab Toolbox Scixminer, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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scixminer  (MathWorks Inc)
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Scixminer, 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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matlab toolbox scixminer user  (MathWorks Inc)
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Matlab Toolbox Scixminer User, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab toolbox scixminer  (MathWorks Inc)
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Matlab Toolbox Scixminer, 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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data mining matlab toolbox gait-cad  (MathWorks Inc)
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matlab toolbox gait-cad  (MathWorks Inc)
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Matlab Toolbox Gait Cad, 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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knotminer  (MathWorks Inc)
90
MathWorks Inc knotminer
Nuclei segmentation with Stardist and knot segmentation with <t>KnotMiner</t> . ( A ) EO-PE, 2D section and ( B ) corresponding segmentation result. Red arrows point to syncytial knots. ( C ) A 3D raw image of nuclei and the corresponding 3D segmentation result. Larger images are available in . ( D ) Segmentation of knots with KnotMiner , illustrated in the maximum intensity projection of the image. ( E ) A 2D visualisation of nuclei in term control placenta. The white arrow points to a nuclear bridge (can be recognised by dense nuclei connecting two villi, but nuclei are not as bright as compared to knots). ( F ) Segmentation of nuclei in term control placenta. ( G ) The 3D segmentation results of nuclei in term control placenta. ( H ) Knot segmentation in term control placenta by KnotMiner . ( I ) Nuclear density (ratio of nuclei over villous volume). EO-PE n = 2 placentas (images: 5), LO-PE: n = 1 placenta, (images: 2), preterm: n = 2 (images 3), term control: n = 2 (images 3), IUGR: n = 1 (images: 2). ( J ) Knot fraction (percentage of total knot volume over villous volume). ( K ) average knot morphology described by flatness and elongation index. Flatness index was not significantly different for the presented clinical cases. Samples in (J) and (K); EO-PE: n = 1 placenta (images:4), LO-PE: n = 1 (images: 1), preterm: n = 2 (images: 3), term control: n = 2 (images: 3), IUGR: n = 1 (images: 2). Results are presented as means ± standard deviation. Scale bars in ( A , B , D – F ): 50 μm. Scales bars in ( C ), and ( G ): 200 μm, * p < 0.05.
Knotminer, 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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embryominer  (SourceForge net)
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SourceForge net embryominer
Nuclei segmentation with Stardist and knot segmentation with <t>KnotMiner</t> . ( A ) EO-PE, 2D section and ( B ) corresponding segmentation result. Red arrows point to syncytial knots. ( C ) A 3D raw image of nuclei and the corresponding 3D segmentation result. Larger images are available in . ( D ) Segmentation of knots with KnotMiner , illustrated in the maximum intensity projection of the image. ( E ) A 2D visualisation of nuclei in term control placenta. The white arrow points to a nuclear bridge (can be recognised by dense nuclei connecting two villi, but nuclei are not as bright as compared to knots). ( F ) Segmentation of nuclei in term control placenta. ( G ) The 3D segmentation results of nuclei in term control placenta. ( H ) Knot segmentation in term control placenta by KnotMiner . ( I ) Nuclear density (ratio of nuclei over villous volume). EO-PE n = 2 placentas (images: 5), LO-PE: n = 1 placenta, (images: 2), preterm: n = 2 (images 3), term control: n = 2 (images 3), IUGR: n = 1 (images: 2). ( J ) Knot fraction (percentage of total knot volume over villous volume). ( K ) average knot morphology described by flatness and elongation index. Flatness index was not significantly different for the presented clinical cases. Samples in (J) and (K); EO-PE: n = 1 placenta (images:4), LO-PE: n = 1 (images: 1), preterm: n = 2 (images: 3), term control: n = 2 (images: 3), IUGR: n = 1 (images: 2). Results are presented as means ± standard deviation. Scale bars in ( A , B , D – F ): 50 μm. Scales bars in ( C ), and ( G ): 200 μm, * p < 0.05.
Embryominer, supplied by SourceForge net, 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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extension package scixminer  (MathWorks Inc)
90
MathWorks Inc extension package scixminer
Nuclei segmentation with Stardist and knot segmentation with <t>KnotMiner</t> . ( A ) EO-PE, 2D section and ( B ) corresponding segmentation result. Red arrows point to syncytial knots. ( C ) A 3D raw image of nuclei and the corresponding 3D segmentation result. Larger images are available in . ( D ) Segmentation of knots with KnotMiner , illustrated in the maximum intensity projection of the image. ( E ) A 2D visualisation of nuclei in term control placenta. The white arrow points to a nuclear bridge (can be recognised by dense nuclei connecting two villi, but nuclei are not as bright as compared to knots). ( F ) Segmentation of nuclei in term control placenta. ( G ) The 3D segmentation results of nuclei in term control placenta. ( H ) Knot segmentation in term control placenta by KnotMiner . ( I ) Nuclear density (ratio of nuclei over villous volume). EO-PE n = 2 placentas (images: 5), LO-PE: n = 1 placenta, (images: 2), preterm: n = 2 (images 3), term control: n = 2 (images 3), IUGR: n = 1 (images: 2). ( J ) Knot fraction (percentage of total knot volume over villous volume). ( K ) average knot morphology described by flatness and elongation index. Flatness index was not significantly different for the presented clinical cases. Samples in (J) and (K); EO-PE: n = 1 placenta (images:4), LO-PE: n = 1 (images: 1), preterm: n = 2 (images: 3), term control: n = 2 (images: 3), IUGR: n = 1 (images: 2). Results are presented as means ± standard deviation. Scale bars in ( A , B , D – F ): 50 μm. Scales bars in ( C ), and ( G ): 200 μm, * p < 0.05.
Extension Package Scixminer, 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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zebrafishminer  (MathWorks Inc)
90
MathWorks Inc zebrafishminer
Nuclei segmentation with Stardist and knot segmentation with <t>KnotMiner</t> . ( A ) EO-PE, 2D section and ( B ) corresponding segmentation result. Red arrows point to syncytial knots. ( C ) A 3D raw image of nuclei and the corresponding 3D segmentation result. Larger images are available in . ( D ) Segmentation of knots with KnotMiner , illustrated in the maximum intensity projection of the image. ( E ) A 2D visualisation of nuclei in term control placenta. The white arrow points to a nuclear bridge (can be recognised by dense nuclei connecting two villi, but nuclei are not as bright as compared to knots). ( F ) Segmentation of nuclei in term control placenta. ( G ) The 3D segmentation results of nuclei in term control placenta. ( H ) Knot segmentation in term control placenta by KnotMiner . ( I ) Nuclear density (ratio of nuclei over villous volume). EO-PE n = 2 placentas (images: 5), LO-PE: n = 1 placenta, (images: 2), preterm: n = 2 (images 3), term control: n = 2 (images 3), IUGR: n = 1 (images: 2). ( J ) Knot fraction (percentage of total knot volume over villous volume). ( K ) average knot morphology described by flatness and elongation index. Flatness index was not significantly different for the presented clinical cases. Samples in (J) and (K); EO-PE: n = 1 placenta (images:4), LO-PE: n = 1 (images: 1), preterm: n = 2 (images: 3), term control: n = 2 (images: 3), IUGR: n = 1 (images: 2). Results are presented as means ± standard deviation. Scale bars in ( A , B , D – F ): 50 μm. Scales bars in ( C ), and ( G ): 200 μm, * p < 0.05.
Zebrafishminer, 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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Image Search Results


Nuclei segmentation with Stardist and knot segmentation with KnotMiner . ( A ) EO-PE, 2D section and ( B ) corresponding segmentation result. Red arrows point to syncytial knots. ( C ) A 3D raw image of nuclei and the corresponding 3D segmentation result. Larger images are available in . ( D ) Segmentation of knots with KnotMiner , illustrated in the maximum intensity projection of the image. ( E ) A 2D visualisation of nuclei in term control placenta. The white arrow points to a nuclear bridge (can be recognised by dense nuclei connecting two villi, but nuclei are not as bright as compared to knots). ( F ) Segmentation of nuclei in term control placenta. ( G ) The 3D segmentation results of nuclei in term control placenta. ( H ) Knot segmentation in term control placenta by KnotMiner . ( I ) Nuclear density (ratio of nuclei over villous volume). EO-PE n = 2 placentas (images: 5), LO-PE: n = 1 placenta, (images: 2), preterm: n = 2 (images 3), term control: n = 2 (images 3), IUGR: n = 1 (images: 2). ( J ) Knot fraction (percentage of total knot volume over villous volume). ( K ) average knot morphology described by flatness and elongation index. Flatness index was not significantly different for the presented clinical cases. Samples in (J) and (K); EO-PE: n = 1 placenta (images:4), LO-PE: n = 1 (images: 1), preterm: n = 2 (images: 3), term control: n = 2 (images: 3), IUGR: n = 1 (images: 2). Results are presented as means ± standard deviation. Scale bars in ( A , B , D – F ): 50 μm. Scales bars in ( C ), and ( G ): 200 μm, * p < 0.05.

Journal: International Journal of Molecular Sciences

Article Title: Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study

doi: 10.3390/ijms24043240

Figure Lengend Snippet: Nuclei segmentation with Stardist and knot segmentation with KnotMiner . ( A ) EO-PE, 2D section and ( B ) corresponding segmentation result. Red arrows point to syncytial knots. ( C ) A 3D raw image of nuclei and the corresponding 3D segmentation result. Larger images are available in . ( D ) Segmentation of knots with KnotMiner , illustrated in the maximum intensity projection of the image. ( E ) A 2D visualisation of nuclei in term control placenta. The white arrow points to a nuclear bridge (can be recognised by dense nuclei connecting two villi, but nuclei are not as bright as compared to knots). ( F ) Segmentation of nuclei in term control placenta. ( G ) The 3D segmentation results of nuclei in term control placenta. ( H ) Knot segmentation in term control placenta by KnotMiner . ( I ) Nuclear density (ratio of nuclei over villous volume). EO-PE n = 2 placentas (images: 5), LO-PE: n = 1 placenta, (images: 2), preterm: n = 2 (images 3), term control: n = 2 (images 3), IUGR: n = 1 (images: 2). ( J ) Knot fraction (percentage of total knot volume over villous volume). ( K ) average knot morphology described by flatness and elongation index. Flatness index was not significantly different for the presented clinical cases. Samples in (J) and (K); EO-PE: n = 1 placenta (images:4), LO-PE: n = 1 (images: 1), preterm: n = 2 (images: 3), term control: n = 2 (images: 3), IUGR: n = 1 (images: 2). Results are presented as means ± standard deviation. Scale bars in ( A , B , D – F ): 50 μm. Scales bars in ( C ), and ( G ): 200 μm, * p < 0.05.

Article Snippet: KnotMiner was built as an extension package for the MATLAB toolbox SciXMiner [ ].

Techniques: Control, Standard Deviation