Publications by authors named "Joost Kuipers"
Article Synopsis
- - This study aimed to create a convolutional neural network (CNN) to detect and classify fractures, focusing on specific characteristics like greater tuberosity displacement and neck-shaft angle, using plain X-rays.
- - The CNN was trained with over 1,700 X-rays from Australia and validated with data from the Netherlands, comparing results with CT scans evaluated by experts.
- - The CNN demonstrated a high detection accuracy of 94% for fractures, but less effectiveness in identifying specific fracture characteristics, particularly showing lower performance for greater tuberosity displacement and neck-shaft angles.
A 35-year old dockworker sustained a pelvic injury when he was caught by a large loading clamshell grab. Primary survey revealed an open book pelvic fracture with soft tissue defects of the left thigh and groin. CT scanning of the thorax and abdomen did not reveal significant additional injuries.
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