qure.ai
This project involved large-scale medical image annotation to support the development of AI models for automated bone fracture detection. A total of 200,000 (2 lakh) healthcare imaging records were annotated with high precision, focusing on identifying the presence of bone fractures and accurately marking the exact fracture regions. The dataset consisted of radiological images usually X-rays covering multiple anatomical regions. Each image was reviewed by trained annotators as well as Orthopedists following strict medical annotation guidelines. Fractures were classified and localized using bounding boxes and/or polygon annotations to highlight the affected bone area. Special attention was given to annotation consistency, anatomical accuracy, and edge-case handling, including hairline fractures and complex fracture patterns.