Competition
Foundation Model Prompting for Medical Image Classification Challenge 2023
Dequan Wang · Xiaosong Wang · Mengzhang Li · Qian Da · DOU QI · · Shaoting Zhang · Dimitris Metaxas
Virtual
The lack of public availability and quality annotations in medical image data has been the bottleneck for training large-scale deep learning models for many clinical downstream applications. It remains a tedious and time-consuming job for medical professionals to hand-label volumetric data repeatedly while providing a few differentiable sample cases is more logically feasible and complies with the training process of medical residents. The proposed challenge aims to advance technique in prompting large-scale pre-trained foundation models via a few data samples as a new paradigm for medical image analysis, e.g., classification tasks proposed here as use cases. It aligns with the recent trend and success of building foundation models (e.g., Vision Transformers, GPT-X, and CLIP) for a variety of downstream applications. Three private datasets for different classification tasks, i.e., thoracic disease classification, pathological tumor tissue classification, and colonoscopy lesion classification, are composed as the training (few samples) and validation sets (the rest of each dataset). Participants are encouraged to advance cross-domain knowledge transfer techniques in such a setting and achieve higher performance scores in all three tasks. The final evaluation will be conducted in the same tasks on the reserved private datasets.
Schedule
Fri 7:00 a.m. - 7:15 a.m.
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Welcome and Overview of Foundation Model Prompting for Medical Image Classification Challenge 2023
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Opening Remarks
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SlidesLive Video |
Dimitris Metaxas · Xiaosong Wang 🔗 |
Fri 7:15 a.m. - 8:15 a.m.
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Foundation Models in Medicine, Generalist vs Specialist
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Presentation
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SlidesLive Video |
Shaoting Zhang 🔗 |
Fri 8:15 a.m. - 8:30 a.m.
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Break
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🔗 |
Fri 8:30 a.m. - 9:00 a.m.
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Presentation of 1st team
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Presentation
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SlidesLive Video |
Kaipeng Zheng 🔗 |
Fri 9:00 a.m. - 9:30 a.m.
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Presentation of 2nd team
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Presentation
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SlidesLive Video |
Adrian Krenzer 🔗 |
Fri 9:30 a.m. - 10:00 a.m.
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Presentation of 3rd team
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Presentation
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SlidesLive Video |
Mengkang Lu 🔗 |