Professor Jeroen van der Laak will give a lecture entitled: "Can AI help to reinforce breast cancer grading?".

TOPICS COVERED

Lecture Abstract: Deep learning is a state-of-the-art pattern recognition technique that has proven powerful for the analysis of digitized histopathological slides. In our work, we studied the use of deep learning to assess a range of breast-cancer related tissue features: presence of lymph node metastases, extend of lymphatic infiltrate within tumors, and the components of tumor grading. It was shown that DL enables reproducible, quantitative tumor feature extraction, showing a good correlation with pathologists’ scores and with patient outcome. Our current research involves larger scale validation with pathologists, to study the added value of the developed algorithms in routine practice, in terms of efficiency and diagnostic accuracy. In addition, we study the application of AI-based biomarkers to select the optimal treatment for individual patients.

WHO SHOULD ATTEND?

Pathologists and cancer professionals.

SPEAKER

Jeroen van der Laak who is professor of computational Pathology at the department of Pathology of the Radboud University Medical Center in Nijmegen, The Netherlands and guest professor at the Center for Medical Image Science and Visualization (CMIV) in Linköping, Sweden

For more informaiton, please contact: [email protected].