Watch Visiopharm’s Most Popular Webinars of 2018 – the Year in Review

There is no getting around it, 2018 was a big year for artificial intelligence in digital pathology. You couldn't visit a healthcare conference without being exposed to the newest cutting-edge technology within AI. It is, therefore, no surprise that our AI Deep Learning webinar comes in at first place of our five most-watched webinars in 2018. ​ 

However, the AI Deep Learning webinar wasn't our only webinar in 2018. So, we gathered our five most-watched webinars for you to benefit from them. Get updated on our latest advancement with digital image analysis software and find something new to learn.

This is the most popular webinar we've done since we started tracking a few years ago. In this webinar, we show how you can use the AI image analysis software to perform for nuclei quantification in IHC images, accurate tumor separation in H&E, or advanced context-aware region mapping in brain images. 

Take a look and see the powerful use case from Biogen on how the AI algorithm compares against manual annotations on a sagittal mouse brain section.

​This webinar covers Tissuealign™ and our patented VirtualDoubleStaining™ method and how you can use it in research for automatic tumor detection and quantification within the tumor area. You get a demo of the wizard-driven workflow of aligning whole slide images and applying the analysis of the combined biomarkers. 

If you are interested in how to use VirtualDoubleStaining™ for automatic annotation of training data and save time – remember to watch our AI and Deep Learning webinar.

Assessment of programmed cell death ligand 1 (PD-L1) immunohistochemical (IHC) staining is used to determine treatment with PD-1 and PD-L1 checkpoint inhibitors, with different scoring methods and criteria for the various assays. With questions unanswered regarding the significance of infiltrating immune cells, optimal cut-offs, tumor heterogeneity, etc., we need a more detailed quantification of PD-L1 positive cells as the field advances. 

Watch how you can use powerful image analysis sottware algorithms to help reduce subjectivity and increase diagnostic confidence. 

​Biomarkers used for diagnosing breast cancer are often observed to be differentially expressed within non-invasive tumor structures, such as ductal carcinoma in situ, compared to invasive tumor structures. Meaning that your results will be biased if you don't have a discrimination between invasive and non-invasive tumor

This webinar covers how a discrimination between invasive and non-invasive tumor is possible, and how it can increase the diagnostic confidence when assessing breast tissue slides.

Phenomap™ is a new module for the Oncotopix platform that simplifies the analysis of high parameter data by providing the user with easy to use tools to automate the classification and visualization of datasets generated using fluorescence, hyperspectral fluorescence, IMC and MIBI instrumentation.

In this webinar, we'll show you how to simplify the analysis of high parameter data using Phenomap Multiplexing.

​Are you interested in learning more?

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