Электронный каталог

Статья

Dima, S.
Neural-Network Identification of Clinical Target Distribution : Abstract / S.Dima // Физика элементарных частиц и атомного ядра. – 2026. – Т. 57, № 4. – P. 766. – URL: https://www1.jinr.ru/Pepan/v-57-4/S.%20Dima_ann.pdf. – This paper presents a neural network-based algorithm for Clinical Target Distribution (CTD) identification integrated within a proton therapy treatment planning system, with validation against simulated MRI-derived ground truth data. The proposed CTD methodology demonstrates significant improvements in organ-atrisk (OAR) preservation, achieving a mean dose reduction of 29.3% to critical structures while maintaining robust target coverage (98.2%).



Спец.(статьи,препринты) = С 325.1а - Нейронные сети и клеточные автоматы
Спец.(статьи,препринты) = Ц 849 - Искусственный интеллект. Теория и практика