A review finds many medical-imaging papers still split data in leak-prone ways
wandedob · x · 2026-07-27
The post explains that the report checks whether medical-imaging papers split data correctly at the patient or whole-volume level, or incorrectly at the slice/patch level, which causes leakage and inflated metrics.
It covers papers using 2D CNNs or ViTs on 3D medical volumes such as MRI, CT, OCT, and ultrasound, as well as pathology whole-slide images broken into patches.
Related event: AI Agent Audit Reveals Data Leakage in Medical Imaging Papers(4 posts)→
More from Research
- Vstone unveils a 97 kg mobile dual-arm humanoid robot for factory and logistics work — CyberRobooo · 2026-07-28
- A 200-patient synthetic table stayed unique after removing all identifiers — MaziyarPanahi · 2026-07-28
- GitHub repo reproduces Patch Policy for embodied control with DINOv2 features — k7agar · 2026-07-28
- Simons Institute panel asks how researchers should adapt to automation — ceciletamura · 2026-07-28
- A research agent works better when it can stop instead of forcing an answer — Harshit-24 · 2026-07-28
- Reddit asks whether a second AI can detect and delete “slop” in AI text — pete_dom · 2026-07-28