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eess.IV2024
Predicting Generalization of AI Colonoscopy Models to Unseen Data
Joel Shor, Carson McNeil, Yotam Intrator +15
: Generalizability of AI colonoscopy algorithms is important for wider adoption in clinical practice. However, current techniques for evaluating performance on…
eess.IV2023
Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging
Saeko Sasuga, Akira Kudo, Yoshiro Kitamura +5
Rectal cancer is one of the most common diseases and a major cause of mortality. For deciding rectal cancer treatment plans, T-staging is important. However, evaluating the index f…