QR код

Retrospective Comparison of Geometrical Accuracy among Atlas-based Auto-segmentation, Deep Learning Auto-segmentation, and Deformable Image Registration in the Treatment Replanning for Adaptive Radiotherapy of Head-and-Neck Cancer

Aims: This study aimed to evaluate the geometrical accuracy of atlas-based auto-segmentation (ABAS), deformable image registration (DIR), and deep learning auto-segmentation (DLAS) in adaptive radiotherapy (ART) for head-and-neck cancer (HNC). Subjects and Methods: Seventeen patients who underwent r...

Повний опис

Збережено в:
Автори: Yukari Nagayasu, Shoki Inui, Yoshihiro Ueda, Akira Masaoka, Masahide Tominaga, Masayoshi Miyazaki, Koji Konishi
Формат: Artigo
Мова:Inglês
Опубліковано: Wolters Kluwer Medknow Publications 2024-09-01
Серія:Journal of Medical Physics
Предмети:
adaptive radiotherapy
atlas-based auto-segmentation
automatic segmentation
deep learning auto-segmentation
deformable image registration
head and neck
Онлайн доступ:https://journals.lww.com/10.4103/jmp.jmp_39_24
Теги: Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!

Схожі ресурси