AI models
improved U-Net for chest X-ray images segmentation
Published
May 23, 2022
improved U-Net for chest X-ray images segmentation is an AI model developed by Henan University of Technology and Nanyang Central Hospital (China), first published in May 2022. It works in the medicine and vision domain, on tasks such as visual question answering and medical diagnosis.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 182.5M datapoints. Training ran on NVIDIA GeForce RTX 3060,Intel Core i5-11600K.
Full record
- Organization
- Henan University of Technology, Nanyang Central Hospital
- Country of organization
- China
- Domain
- Medicine, Vision
- Task
- Visual question answering, Medical diagnosis
- Dataset size
- 182.5M
- Training hardware
- NVIDIA GeForce RTX 3060, Intel Core i5-11600K
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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