Speaker
Dr
Jakub Barbasz
(Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences)
Description
Computer aided analysis of microscopic images is a rapidly growing field of imaging research. The results of the preliminary assessment of cervical cytology samples made by artificial intelligence systems will be presented. For this purpose, a u-net network of various complexity of architecture has been tested. The obtained results indicate the effectiveness of the solution based on neural networks in the preliminary selection of microscopic images of cervical cytology. The use of the proposed solutions, increases the effectiveness of detecting irregularities without increasing the cost of testing and without additional procedural processes carried out with patients.
Acknowledgements: I acknowledge the support of POIR.01.02.00-00-0038/15-00
Primary author
Dr
Jakub Barbasz
(Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences)
Co-authors
Prof.
Jacek Gronwald
(International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland)
Dr
Łukasz Lasyk
(Digitmed, Oleśnica, Poland)
