March 29, 2024, 4:46 a.m. | Yiwen Zhang, Chuanpu Li, Liming Zhong, Zeli Chen, Wei Yang, Xuetao Wang

cs.CV updates on arXiv.org arxiv.org

arXiv:2306.16324v2 Announce Type: replace-cross
Abstract: Treatment planning, which is a critical component of the radiotherapy workflow, is typically carried out by a medical physicist in a time-consuming trial-and-error manner. Previous studies have proposed knowledge-based or deep-learning-based methods for predicting dose distribution maps to assist medical physicists in improving the efficiency of treatment planning. However, these dose prediction methods usually fail to effectively utilize distance information between surrounding tissues and targets or organs-at-risk (OARs). Moreover, they are poor at maintaining the …

abstract arxiv cs.cv diffusion diffusion model distribution eess.iv efficiency error improving knowledge maps medical planning prediction studies treatment type workflow

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