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PhD publication C. Raets
CT scan images and their Dworak tumor regression grade can now be predicted in a more automated way by the use of customized random forests and give fairly good predictions (67% accuracy).
The Dworak tumor regression grade is a typical diagnostic tool to assess the tumor response of colorectal cancer patients. However, the Dworak grade is determined by a pathologist by inspection of the tumor biopsy without a dedicated measurement instrument. This work will further improve training and support for scoring the Dworak’s in a more correct manner.
C. Raets, C. El Aisati, M. De Ridder, A. Sermeus, K. Barbé. An Evolutionary Random Forest to measure the Dworak tumor regression grade applied to colorectal cancer. Measurement (2022). 205:112131, https://doi.org/10.1016/j.measurement.2022.112131.
Best poster award A. Rifi
At the Royal Statistical Society Belgium meeting of 20-21 October 2022 one of our PhD students obtained the best poster award for junior researchers for his outstanding work entitled:
Factor analysis to unravel the biological meaning of radiomic features
Promotors: Prof. Dr. De Ridder & Prof. Dr. Barbé
Interview for Belgian Journal of Medical Oncology:
Access the interview: