Clinical evaluation of a deep learning model for segmentation of target volumes in breast cancer radiotherapy

• Published in: Radiotherapy and oncology Vol. 171; pp. 84 - 90
• Main Authors: Buelens, P., Willems, S., Vandewinckele, L., Crijns, W., Maes, F., Weltens, C.G.
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.06.2022
• Subjects: Breast neoplasms (D001943); Neural networks, computer (D016571); Radiotherapy, adjuvant (D018714); Segmentation; Supervised machine learning; Radiotherapy, adjuvant (D018714); Supervised machine learning; Segmentation; Neural networks, computer (D016571); Breast neoplasms (D001943)

•Artificial Intelligence decreases errors in breast cancer structure segmentation.•Convolutional Neural Networks are feasible in breast cancer radiotherapy workflow.•AI based segmentation results in similar planning volumes as in manual segmentation. Precise segmentation of clinical target volumes (...