Výsledky vyhledávání - "Plan fine-tuning"

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Akademický článek

Automatic IMRT treatment planning through fluence prediction and plan fine-tuning for nasopharyngeal carcinoma

Autor: Wenwen Cai, Shouliang Ding, Huali Li, Xuanru Zhou, Wen Dou, Linghong Zhou, Ting Song, Yongbao Li

Publikováno v: Radiation Oncology, Vol 19, Iss 1, Pp 1-12 (2024)

Abstract Background At present, the implementation of intensity-modulated radiation therapy (IMRT) treatment planning for geometrically complex nasopharyngeal carcinoma (NPC) through manual trial-and-error fashion presents challenges to the improveme

Externí odkaz: https://doaj.org/article/1e2a1ca90adc4fd099a3a860b67fad58

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Periodical

Research on Nasopharyngeal Carcinoma Detailed by Researchers at Southern Medical University (Automatic IMRT treatment planning through fluence prediction and plan fine-tuning for nasopharyngeal carcinoma).

Publikováno v: Drug Week; 4/12/2024, p1429-1429, 1p

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SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City.

Autor: YIZONG WANG, DONG ZHAO, YAJIE REN, DESHENG ZHANG, HUADONG MA

Publikováno v: ACM Transactions on Knowledge Discovery from Data; May2023, Vol. 17 Issue 4, p1-25, 25p

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An atlas-guided automatic planning approach for rectal cancer intensity-modulated radiotherapy.

Autor: Peng, Jiayuan, Chen, Yuanhua, Zhao, Jun, Wang, Jiazhou, Xia, Xiang, Cai, Bin, Mazur, Thomas R, Zhu, Ji, Zhang, Zhen, Hu, Weigang

Publikováno v: Physics in Medicine & Biology; 8/7/2021, Vol. 66 Issue 15, p1-9, 9p

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A retrospective study on the investigation of potential dosimetric benefits of online adaptive proton therapy for head and neck cancer.

Autor: Chang, Chih‐Wei, Bohannon, Duncan, Tian, Zhen, Wang, Yinan, Mcdonald, Mark W., Yu, David S., Liu, Tian, Zhou, Jun, Yang, Xiaofeng

Publikováno v: Journal of Applied Clinical Medical Physics; May2024, Vol. 25 Issue 5, p1-16, 16p

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Report

SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City

Autor: Wang, Yizong, Zhao, Dong, Ren, Yajie, Zhang, Desheng, Ma, Huadong

For a new city that is committed to promoting Electric Vehicles (EVs), it is significant to plan the public charging infrastructure where charging demands are high. However, it is difficult to predict charging demands before the actual deployment of

Externí odkaz: http://arxiv.org/abs/2110.09452

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Akademický článek

Deformable dose prediction network based on hybrid 2D and 3D convolution for nasopharyngeal carcinoma radiotherapy.

Autor: Liu Y; College of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, 610059, China. liuyanhua@cdut.edu.cn., Luo W; College of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, 610059, China., Li X; College of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, 610059, China., Liu M; Sichuan Cancer Hospital, Chengdu, 610041, China.

Publikováno v: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Oct 30. Date of Electronic Publication: 2024 Oct 30.

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