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20192022
most citedA Method of Rapid Quantification of Patient-Specific Organ Dose for CT Using Coupled Deep-Learning based Multi-Organ Segmentation and GPU-accelerated Monte Carlo Dose Computing

82 citations · 115 across the 4 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

physics.med-ph2019★ 12 cited

Deep learning for accelerating Monte Carlo radiation transport simulation in intensity-modulated radiation therapy

Zhao Peng, Hongming Shan, Tianyu Liu +4

Cancer is a primary cause of morbidity and mortality worldwide. The radiotherapy plays a more and more important role in cancer treatment. In the radiotherapy, the dose distributio…

physics.med-ph2019★ 82 cited

A Method of Rapid Quantification of Patient-Specific Organ Dose for CT Using Coupled Deep-Learning based Multi-Organ Segmentation and GPU-accelerated Monte Carlo Dose Computing

Zhao Peng, Xi Fang, Pingkun Yan +7

Purpose: This paper describes a new method to apply deep-learning algorithms for automatic segmentation of radiosensitive organs from 3D tomographic CT images before computing orga…