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Assessment of minimum lumen areas in intravascular ultrasound (IVUS) pullbacks is time-consuming and demands adequately trained personnel. In this work, we introduce a novel and fully automated pipeline to segment the lumen boundary in IVUS datasets.

Automated lumen segmentation using multi-frame convolutional neural networks in intravascular ultrasound datasets