Health Tech Lunch - Anne Martel - “Applying deep learning to digital pathology in breast cancer”
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The Axe Santé is organising a Health Tech Lunch on Tuesday, June 6th from 12:00 to 12:45 at Swiss Digital Center in Sierre (room Maïa).
Biography : Anne Martel is a Professor in Medical Biophysics at the University of Toronto, a Senior Scientist and Tory Family Chair in Oncology at Sunnybrook Research Institute, and a Faculty Affiliate at the Vector Institute, Toronto. Her research program is focused on medical image and digital pathology analysis, particularly on applications of machine learning for segmentation, diagnosis, and prediction/prognosis. In 2006 she co-founded Pathcore, a software company developing complete workflow solutions for digital pathology.
Dr Martel is an active member of the medical image analysis community and is a fellow of the MICCAI Society which represents engineers and computer scientists working in this field. She has served as a board member of MICCAI and is currently on the editorial board of the journal Medical Image Analysis.
Abstract : Anatomic pathology plays an important role in the management of breast cancer, providing diagnostic, prognostic and predictive information to oncologists. The introduction of scanners capable of capturing high resolution images of microscope slides and advances in deep learning have provided an opportunity to reduce pathologists’ workload and improve on the accuracy of prognosis using AI. Although the talk will focus on our work in metastases detection, residual tumour burden assessment and recurrence prediction in breast cancer, the semi-supervised and self-supervised approaches that we have developed to overcome the challenges posed by small and/or weakly labelled datasets are applicable to many medical image analysis tasks.
Programme:
Registration : https://doodle.com/meeting/participate/id/boj19rAa