patternquant semi-automated machine learning algorithm (3DHistech ltd)
90
Structured Review
3DHistech ltd
patternquant semi-automated machine learning algorithm
![Automated image analysis using the <t>PatternQuant</t> machine learning algorithm for measuring the proportions of fibrillin 1 immunoperoxidase reactions ( A,C, brown) within representative annotated areas of myelofibrotic bone marrow sections. Image segmentation reveals areas occupied by the immunoreactions (red), the immune‐negative tissue (green) and the cell‐free regions (yellow) ( B,D ). Higher power confirms the accuracy of segmentation ( B,D ). Highlighted numbers in ( D ) show measured areas in μm 2 and in % proportions. Graphs show the statistical correlations between fibrillin 1 quantitative results and Gomori's silver grades using both the Kruskal–Wallis test and Wilcoxon's post‐hoc test ( E ). The seven MF cases which were up‐scaled (red triangles) and six MF cases which were down‐scaled (green triangles) at visual scoring segregated to the upper and lower regions, respectively, within their MF categories in the box‐plots. The overlapping distribution curves of quantitative results within MF‐grades ( F ) confirms the continuous nature of myelofibrosis progression. [Color figure can be viewed at wileyonlinelibrary.com ]](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_7930/pmc10107930/pmc10107930__HIS-82-622-g001.jpg)
Patternquant Semi Automated Machine Learning Algorithm, supplied by 3DHistech 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/product/automated+machine+learning/patternquant+semi+automated+machine+learning+algorithm/pmc10107930-35-11-22
Average 90 stars, based on 1 article reviews
Patternquant Semi Automated Machine Learning Algorithm, supplied by 3DHistech 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/product/automated+machine+learning/patternquant+semi+automated+machine+learning+algorithm/pmc10107930-35-11-22
Average 90 stars, based on 1 article reviews
patternquant semi-automated machine learning algorithm - by Bioz Stars,
2026-09
90/100 stars
Images
1) Product Images from "Myelofibrosis progression grading based on type I and type III collagen and fibrillin 1 expression boosted by whole slide image analysis"
Article Title: Myelofibrosis progression grading based on type I and type III collagen and fibrillin 1 expression boosted by whole slide image analysis
Journal: Histopathology
doi: 10.1111/his.14846
Figure Legend Snippet: Automated image analysis using the PatternQuant machine learning algorithm for measuring the proportions of fibrillin 1 immunoperoxidase reactions ( A,C, brown) within representative annotated areas of myelofibrotic bone marrow sections. Image segmentation reveals areas occupied by the immunoreactions (red), the immune‐negative tissue (green) and the cell‐free regions (yellow) ( B,D ). Higher power confirms the accuracy of segmentation ( B,D ). Highlighted numbers in ( D ) show measured areas in μm 2 and in % proportions. Graphs show the statistical correlations between fibrillin 1 quantitative results and Gomori's silver grades using both the Kruskal–Wallis test and Wilcoxon's post‐hoc test ( E ). The seven MF cases which were up‐scaled (red triangles) and six MF cases which were down‐scaled (green triangles) at visual scoring segregated to the upper and lower regions, respectively, within their MF categories in the box‐plots. The overlapping distribution curves of quantitative results within MF‐grades ( F ) confirms the continuous nature of myelofibrosis progression. [Color figure can be viewed at wileyonlinelibrary.com ]
Techniques Used:
Related Articles
Software:Article Title: Myelofibrosis progression grading based on type I and type III collagen and fibrillin 1 expression boosted by whole slide image analysis Article Snippet: .. The image analysis of fibrillin 1 immunoreactions was performed using the PatternQuant semi‐automated machine learning algorithm of the |