Computer Vision News - June 2022

58 MICCAI Challenge we wanted to include them. We’ve also increased the number of centers, so we have data from nine hospitals and many more cases in the training and test sets. ” Combining the segmentation task with the prediction of patient outcomes is something that Vincent tells us separates HECKTOR from other segmentation challenges. “ I think we were the first segmentation task from PET/CT images, ” he points out. “ We have the PET image representing the metabolic response of the tumor and the CT modality providing information on the morphological tissue properties. The discriminative information in PET images is important, but multimodal models Two years ago, the first HECKTOR Challenge presented its results at MICCAI 2020. Its task was to automatically segment head and neck primary tumors in PET/CT images . After a successful start, the challenge grew last year with more data and a view toward personalized medicine and finding the best treatments for patients. It added a task around predicting patient outcomes and progression-free survival based on PET/CT images and clinical data. “ This year, for the segmentation task, we propose the segmentation of primary tumors and metastatic lymph nodes , ” Vincent reveals. “ We realized that metastatic lymph nodes are predictive for patient outcomes, so HECKTOR CHALLENGE AT MICCAI 2022 Vincent Andrearczyk is a Senior Researcher at the University of Applied Sciences Western Switzerland and a co-organizer of the HECKTOR Challenge, which will be presented at MICCAI 2022 in Singapore in September. He tells us more about the competition, which has just kicked off.