Computer Vision News - March 2022
58 Medical Imaging Grand Challenge test slides of breast cancer patients whose outcome is known. Then they will perform a survival analysis to see if the TIL score can predict recurrence . Recurrence is the most crucial factor to know clinically in terms of treatment. It is the question that every cancer patient asks their oncologist: Will the cancer return, or am I cured ? Until recently, chemotherapy and hormone therapy have been the primary treatments for breast cancer patients. Now, there is growing interest in immunotherapy. Treatment plans might change over time, but either way, there will likely still be a role for TILs . “ For me, the goal of this challenge is perfectly in line with my current research work, ” Witali tells us. “ One of my projects is about trying to predict whether chemotherapy will work for breast cancer patients , and TILs are a biomarker for that. When I tried to develop and discover novel biomarkers, I ended up with something that correlates with the TILs. ” Francesco, Witali, Mart and Leslie are for participants to navigate and connect standard convolutional neural networks or deep learning approaches to the data. “ Fromthe start, we designed this challenge to be inclusive, ” Francesco points out. “ We wanted scientists and researchers in medical image analysis or computational pathology to take part, but also the wider computer vision community. Clinical application is the kind of goal that we can only reach if we do it collaboratively ! ” TIGER is a complex challenge with multiple components . Two leaderboards evaluate different aspects of what the participants develop. One looks at the performance of algorithms designed to segment tissue parts, including the tumor and the connective tissue associated with it, and algorithms designed to detect lymphocytes. The second leaderboard considers the TIL score. Participants have to develop ideas for converting what they have segmented and detected into a biomarker. The team will run this biomarker on a large set of independent
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