This MIKAIA® University app note demonstrates how to quickly and interactively train your own AI using just a few training annotations, all in a matter of minutes. In the app center, select the Segmentation AI Author...
Author - Michaela Benz
Michaela Benz
Segmentation AI Author Example: Train H&E Vulvar Cancer AI Based on Aligned IHC Serial Sections
This MIKAIA® University app note illustrates how to interactively train a new H&E segmentation AI with serial sections, without having to annotate tumor regions. Instead, an IHC epithelial marker (pan-cytokeratin...
More than AI-based Analysis: Discover Spatial Patterns in your Whole Slide Images with MIKAIA
How can the advanced AI analysis capabilities of MIKAIA® assist researchers and clinicians in analyzing their digital pathology and spatial biology data? This talk provides an overview of MIKAIA’s advanced...
MIKAIA Cellular Neighborhood App Explained
The MIKAIA® Cellular Neighborhood App can yield statistics about the cellular microenvironment, i.e., identify cell niches or cellular communities. This presents a type of spatial analysis of cell populations detected...
MIKAIA AI Author: Create New AI and Batch-analyze an Entire Dataset
MIKAIA® AI Author used for Digital Pathology batch analysis
How Digital Pathology is Advanced in the ADA Lovelace Center
Find out more about the Digital Pathology application in the ADA Lovelace Center. Interview with Dr. Michaela Benz on AI-based diagnostical support in the ADA Lovelace Center. Read more interesting articles on AI...
