To overcome this, researchers developed the biggest open-access database on microscopic pictures of bone marrow cells thus far.
“On top of our database, we have developed a neural network that outperforms previous machine learning algorithms for cell classification in terms of accuracy, but also terms of generalizability,” says Christian Matek, lead creator of the brand new examine.
The deep neural community is a machine studying idea particularly designed to course of pictures. The evaluation of bone marrow cells has not but been carried out with such superior neural networks. This is as a result of high-quality, public datasets haven’t been accessible till now.
Researchers at the moment are aiming to develop their bone marrow cell database additional to seize a broader vary of findings and to prospectively validate their mannequin.
The database and the mannequin are freely accessible for analysis and coaching functions – to teach professionals or as a reference for additional AI-based approaches e.g. in blood most cancers diagnostics.