Register for free to
view the full innovation profile.
The innovation consist of automatic gathering of all statistic for HER-2 testing with the help of Deep Learning methods
About
HER2 is used in all cases of breast cancer and allows you to answer the question of whether the tumor will respond to expensive, but effective targeted therapy. For a few years already we use Machine Learning algorithms to help histopathologists to make decision about some part of microscopic image. In particular, ML model for HER-2 testing is able to predict the response degree of possible target therapy of the tumor. The model's interface allows histopathologists to select any area of an image and make all necessary calculations within a few seconds. This technology helps specialists to conduct results much faster and also prevent from possible mistakes of miscalculation and other types of human-related mistakes.
Key Benefits
Our ML-model reduce the risk of wrong decision of specialists and also significantly reduce the time for statistical data conduction for HER-2 testing.
Applications
For already a few years our clinical specialists use HER-2 ML model in their daily work of analyzing data from microscopical images.