STAND NUMBER: 954
Using Deep Learning (DL) and Machine Learning (ML)
platforms, we have developed specialized algorithmic solutions to analyze medical images for oncology and radiology
for faster and better than human accuracy. Image segmentation and classification of tumor cases from histopathological
samples are important parts of nowadays medicine. This
modality is crucial in order to make each particular cancer
diagnosis reliable. In the light of globalization it is becoming
more and more important to provide tools for digital pathology data sharing and to facilitate community based activities.
Our solutions help not only in making the process of segmentation and classification easier and much faster but also make
it possible for specialists from all over the world to share,
discuss and analyze troubling cases among each other.
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