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With DOCTAR we developed a deep learning step towards a complete new Apeer-Service-Ecosystem for cancer recognition
Self-Service complete blood count test.
Epic Zeiss Hack!
Our solution of photomasking problem
In this challenging project we learned that even with small data, not so deep learning can do a good job.
Challenge 4
Predictive maintenance as a service for ZEISS measuring machines to minimise downtime for the client.
Lets face it: a time to replace it!
Automatically detect and visualize photomask defects
API for Cell Detection & Cancer Tissue Classification including Apeer integeration and a Webapp
UmkippIT
Reliable Cancer Detection for the Masses
Train defects with little supervision, keep track of machine performance over time
Tool for detection and tracking of the correct placement of surface elements during the fixation process.
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