首页|Researcher at University of Palermo Details Research in Data Intelligence (Resam pling approaches for the quantitative analysis of spatially distributed cells)
Researcher at University of Palermo Details Research in Data Intelligence (Resam pling approaches for the quantitative analysis of spatially distributed cells)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on da ta intelligence. According to news reporting out of Palermo, Italy, by NewsRx ed itors, research stated, "ABSTRACT: Image segmentation is a crucial step in vario us image analysis pipelines and constitutes one of the cutting-edge areas of dig ital pathology." Our news reporters obtained a quote from the research from University of Palermo : "The advent of quantitative analysis has enabled the evaluation of millions of individual cells in tissues, allowing for the combined assessment of morphologi cal features, biomarker expression, and spatial context. The recorded cells can be described as a point pattern process. However, the classical statistical appr oaches to point pattern processes prove unreliable in this context due to the pr esence of multiple irregularly-shaped interstitial cell-devoid spaces in the dom ain, which correspond to anatomical features (e.g. vessels, lipid vacuoles, glan dular lumina) or tissue artefacts (e.g. tissue fractures), and whose coordinates are unknown. These interstitial spaces impede the accurate calculation of the d omain area, resulting in biased clustering measurements. Moreover, the mistaken inclusion of empty regions of the domain can directly impact the results of hypo thesis testing. The literature currently lacks any introduced bias correction me thod to address interstitial cell-devoid spaces."
University of PalermoPalermoItalyE uropeData IntelligenceMachine Learning
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