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Rank #292 · 3 unique linked submissions.
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We previously developed an automatic catheter reconstruction model (CorneliUS) that achieves approximately 93% needle detection efficiency in post‑implant 3D ultrasound images for prostate HDR brachytherapy. The remaining undetected (AI‑missed) needles are ty...
To validate and assess the performance of an AI-assisted tool, CorneliUS, for needle reconstruction in high dose rate (HDR) ultrasound-guided prostate brachytherapy in an independent clinical setting.
Developing robust AI models for radiotherapy requires large, diverse datasets, which are difficult to share between institutions due to patient confidentiality, IT restrictions, and limited local machine learning expertise. Federated learning offers a solutio...