Fine-Tuning and Evaluating AI Models for Organ-at-Risk Delineation in Radiotherapy Planning
Manually outlining organs for radiotherapy is slow and subjective. We trained an AI to take over this, and while its accuracy was high, its "failures" were the telling. It turns that it was more consistent than the human, strictly following its own rules even when the original training data didn't.
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