BCCRI trainees shared their work at SPIE Medical Imaging here in Vancouver.
Fumiya Inaba, a student in the Guillaud lab, is developing deep learning tools to aid pathologists in determining the future prognosis of prostate cancer patients from biopsies.
You can read more here: Instance scoring via distillation of multiple instance classifiers for interpretable digital pathology.
Ian Janzen is developing machine learning tools tailored to a Canadian population to assist radiologists in identifying which of the smallest lung nodules require further intervention.
You can read more here: Applying deep learning and radiomics to diagnostically challenging nodules in LDCT screening programs
Fumi was awarded the Robert F. Wagner all-conference best student paper award for his work! Congratulations Fumi!
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