software for lung texture analysis (Imbio LLC)
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Software For Lung Texture Analysis, supplied by Imbio LLC, 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/texture+analysis+software/lung+texture+analysis/pm40197088-58-4-9
Average 90 stars, based on 1 article reviews
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Software:Article Title: Post-COVID-19 interstitial lung disease: Insights from a machine learning radiographic model Article Snippet: .. Toward this direction, we performed patients’ radiographic evaluation through a validated machine learning software system, denominated Article Title: Artificial Intelligence Unveils the Unseen: Mapping Novel Lung Patterns in Bronchiectasis via Texture Analysis Article Snippet: .. This study aimed to assess lung involvement in patients with bronchiectasis using the Bronchiectasis Radiologically Indexed CT Score (BRICS) and AI-based quantitative Article Title: Comparing multi-texture fibrosis analysis versus binary opacity-based abnormality detection for quantitative assessment of idiopathic pulmonary fibrosis Article Snippet: .. The computer-aided lung informatics for pathology evaluation and ratings (CALIPER) tool is part of the Imbio Article Title: Advances and future outlook in clinical trials for treating systemic sclerosis-interstitial lung disease. Article Snippet: Introduction: Systemic sclerosis-associated interstitial lung disease (SSc-ILD) is a common complication of systemic sclerosis (SSc), contributing significantly to morbidity and mortality.. We aim to bridge knowledge gaps, inform clinical practice, and identify future research directions in this rapidly evolving field.. Areas covered: This review provides a comprehensive analysis of the current understanding and emerging advances in the diagnosis, risk stratification, and treatment of SSc-ILD. other:Article Title: SOX9-regulated matrix proteins predict poor outcomes in patients with COVID-19 and pulmonary fibrosis Article Snippet: To explore this further we applied automated artificial Article Title: Filtration-histogram based texture analysis and CALIPER based pattern analysis as quantitative CT techniques in idiopathic pulmonary fibrosis: head-to-head comparison Article Snippet: The scans were analysed with two separate software packages utilising different qCT techniques, Article Title: Lung vascular changes as biomarkers of severity in systemic sclerosis-associated interstitial lung disease. Article Snippet: Images with standard reconstruction algorithm were post-processed using two automated software programs: Article Title: Post-COVID-19 interstitial lung disease: Insights from a machine learning radiographic model Article Snippet: High-Resolution Computed Tomography scans were evaluated through the validated Imaging:Article Title: Comparing multi-texture fibrosis analysis versus binary opacity-based abnormality detection for quantitative assessment of idiopathic pulmonary fibrosis Article Snippet: .. The computer-aided lung informatics for pathology evaluation and ratings (CALIPER) tool is part of the Imbio |

![<t>Lung</t> <t>texture</t> <t>analysis</t> report: The Dicom representative image of each category of pattern. These were chosen based on the predominance of lung parenchymal patterns including hyperlucent, ground glass [GG], reticular, and honeycombing. Imbio LTA provided their regional distribution within three different lung zones [upper, middle, lower] in each lung. The platform provided an image in which each lung pattern was colored differently, allowing the evaluation of disease extent, composition, and location at a glance. Specific images were chosen because of the predominance of one of the patterns in each of them; at the same time, they had other patterns, also showing that all pathologies could coexist in a single case of bronchiectasis, yet have a predominance of a single pattern that may have a bearing on their clinical symptoms.](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_5828/pmc11675828/pmc11675828__diagnostics-14-02883-g003.jpg)