23 Computer Vision News Computer Vision News The PANORAMA challenge is making steady progress. Megan reports that the training set was released less than a month ago, and teams can now submit their algorithms to a hidden validation set on the Grand Challenge platform. This cohort of 100 cases allows teams to tune their algorithms without prior exposure to the cases. A more extensive hidden test set will be available to developers later in the year, with a subset of this used for a parallel reader study. Do the pair have any advice for competing teams? “My tip would be not just to focus on the presence or absence of tumor morphology but also on surrounding structures,” Megan teases. “Contributing with a pre-processing with segmenting surrounding anatomy of the pancreas or surrounding organs could be very useful.” Changes in surrounding anatomy and indicators like sarcopenia can provide crucial insights into pancreatic cancer. John’s research supports a multifaceted approach, suggesting that integrating additional clinical information with imaging data will enhance AI performance in the future. “It can be clinical information on the patient himself, like their physical condition, age, or previous diseases, but also, what is the pathology outcome? Has the patient received chemotherapy?” he considers. “More and more, you will get additional information added to the imaging.” With pancreatic cancer projected to become the second leading cause of cancer-related deaths in the US by 2030, developing impactful AI solutions to improve early detection and outcomes for patients is becoming more and more urgent. “It’s going to happen quite quickly because of developments in other cancers,” Megan points out. “It’s particularly important to change outcomes in this field that haven’t changed in the last 40 years. If people are eager to participate and centers can contribute data to make this more applicable generically, that would be great.” In addition to cash prizes, winning teams will be invited to join the PANORAMA consortium and listed as authors on an upcoming journal paper summarizing the challenge’s findings. Previous challenges like PICAI and PANDA from the Diagnostic Image Analysis Group have produced high-impact papers, and this will be no exception. Participants have an exciting opportunity to contribute to something unique and influential. Coorganizer Henkjan Huisman Pancreatic Cancer Diagnosis
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