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We provide Machine Learning algorithms to make fast analysis of microscopic plates of ki-67 testings. Our model detect and count positive and negative cells, ratio and HPF.
About
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 ki-67 test is able to conduct all necessary data like a number of positive, negative cells, their ratio and HPF. 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 ki-67 test.
Applications
For already a few years our clinical specialists use ki-67 ML model in their daily work of analyzing data from microscopical images.