Third Opinion AI
Morphology
Automated cells classification and counting on a digital peripheral blood smear and medulla
Digital microscopes automatization
Neural network trained by country leading morphologists
Economy
Compensates partially lack of experienced morphologists
Support
Reduces laboratory assistants workflow
Speed
Saves time while getting expert conclusion
34 cell types recognition
This service can recognize cells typical for hematologic processes
Blasts
Myelocytes
Lymphocytes
Neutrophils
Basophils/Eosinophils
We alleviate problem of morphologists deficiency
We facilitated current morphologists and hematologists tasks
Seamless integration into morphologist workflow
1
Doctor selects a digital smear from database
The smear gallery is stored in medical centers where Third Opinion is installed.
2
Conclusion is issued instantly
This algorithm marks cells on the image and forms a conclusion

3
Doctor validates a result

Doctor reads conclusion, makes adjustments and puts his signature
Curator