Blood morphology and image-based artificial intelligence
- New image-based quantitative features for the morphological differentiation and standardization of blood cell images: normal, reactive, abnormal neoplastic lymphocytes, blast cells and abnormal red cells (including parasites and inclusions).
- Computer methods and algorithms to assist in haematological and non-haematological diagnosis based on digital image analysis, machine learning and deep learning.
- Automatic recognition of normal blood cells, reactive lymphocytes (infections), abnormal lymphoid cells (lymphoma), blast cells (leukaemia), displastic cells and abnormal red cells (including malaria detection) in peripheral blood.