Man vs. Machine (Learning): Comparing Speed and Cost-Effectiveness of Manual vs. Deep Learning Segmentation-Aided Volume Delineation for Head and Neck Lymph Node Targets

This preliminary study shows that using an AI-based segmentation-aided approach to Head and Neck Lymph Node stations can be feasibly implemented within a standard Radiation Oncology workflow!

MVision AI’s guideline-based Contour+ offers the potential for significant time and cost savings in your Radiation Therapy department.

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Written by
Monica-Emilia Chirilă
Monica-Emilia Chirilă
Radiation Oncologist

Monica is a Radiation Oncologist working in a Romanian private clinic which is part of a European Network. She is also the Managing Editor of the Journal of Medical and Radiation Oncology (JMRO), an independent researcher and a medical journalist. Her main research focus is on breast cancer, prostate cancer, education, patient reported outcomes, and AI use in Radiation Oncology.

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