CORDIS Project
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This project seeks to enhance the diagnosis of blood diseases by integrating artificial intelligence with digital pathology. It aims to automate and standardize the classification of hematologic malignancies, improving diagnostic accuracy and patient treatment.
Identifying hematologic malignancies still relies on the time-consuming and subjective visual assessment of images.
Every day, cytologists and pathologists are confronted with rare diagnostic cells, ever-increasing image data, and heterogeneous disease manifestations.
Although we understand blood better than any other human tissue, we are unable to quantitatively predict a patient’s blood dynamics from a measurement.
Diagnosis thus depends on rough staging schemes and the expertise and intuition…
HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH
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