Efficient application of deep learning‐based elective lymph node regions delineation for pelvic malignancies

• DOI: 10.1002/mp.17330
• Publication Date: 2024-07-27T22:49:31Z
• Authors: Feng Wen; Jie Zhou; Zhebin Chen; Meng Dou; Yu Yao; Xin Wang; Feng Xu; Yali Shen
• Keywords: Male; Radiotherapy Planning, Computer-Assisted; Pelvis; 03 medical and health sciences; Deep Learning; 0302 clinical medicine; Image Processing, Computer-Assisted; Humans; Female; Lymph Nodes; Tomography, X-Ray Computed; Pelvic Neoplasms; Retrospective Studies

While there are established international consensuses on the delineation of pelvic lymph node regions (LNRs), significant inter- and intra-observer variabilities persist. Contouring these clinical target volumes for irradiation in malignancies is both time-consuming labor-intensive.