3 papers
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…
cs.LG2023
The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries
Joel Shor, Hiro-o Yamano, Daisuke Tsurumaru +13
: Artificial Intelligence (AI) Computer-Aided Detection (CADe) is commonly used for polyp detection, but data seen in clinical settings can differ fro…
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…