Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning

arXiv:2404.04202v1 Announce Type: cross
Abstract: Our understanding of organs at risk is progressing to include physical small tissues such as coronary arteries and the radiosensitivities of many small organs and tissues are high. Therefore, the accurate segmentation of small volumes in external radiotherapy is crucial to protect them from over-irradiation. Moreover, with the development of the particle therapy and on-board imaging, the treatment becomes more accurate and precise. The purpose of this work is to optimize organ segmentation algorithms for …

abstract arxiv cs.cv eess.iv images planning protect risk segmentation small them treatment type understanding