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Taxonomy: IM/TH- Image Analysis Skills (broad expertise across imaging modalities): Machine Learning
| MO-B-BRC-3 | Deep Learning-Guided Iterative Refinement to Improve Label Quality and Consistency H Zhou1*, J Xiao2, Z Fan2, 3, 4, D Ruan1, 5, (1) Department of Bioengineering, University of California, Los Angeles, CA 90095, (2) Department of Radiology, University of Southern California, Los Angeles, CA 90033, (3) Department of Radiation Oncology, University of Southern California, Los Angeles, CA 90033, (4) Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089 (5) Department of Radiation Oncology, University of California, Los Angeles, CA 90095 |
| MO-B-BRC-6 | Twin AI Algorithms for Quality Control of Auto-Segmentation in Radiation Therapy C V Guthier1,2*, R Zeleznik1,2, D S Bitterman1,2, R S Punglia1, J S Bredfeldt1, H J W L Aerts1,2, R H Mak1,2, (1) Department of Radiation Oncology, Brigham and Womens Hospital/Dana-Farber Cancer Institute and Harvard Medical School, Boston MA (2) Artificial Intelligence in Medicine (AIM) Program at Harvard-MGB |