A Machine-Learning Model Using Artificial Neural Network to Facilitate Liver SBRT Prescription Selection By Predicting Normal Liver Geud Based on Geometric Properties of Liver and PTV

Wang Y.

首页> 外文期刊>International Journal of Radiation Oncology, Biology, Physics >A Machine-Learning Model Using Artificial Neural Network to Facilitate Liver SBRT Prescription Selection By Predicting Normal Liver Geud Based on Geometric Properties of Liver and PTV

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A Machine-Learning Model Using Artificial Neural Network to Facilitate Liver SBRT Prescription Selection By Predicting Normal Liver Geud Based on Geometric Properties of Liver and PTV

机译：一种利用人工神经网络的机器学习模型，以促进肝脏SBRT处方选择，通过肝脏和PTV几何特性预测正常肝geud

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来源
《International Journal of Radiation Oncology, Biology, Physics》 |2019年第1suppla期|共1页
作者
Wang Y.;
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Harvard Med Sch Massachusetts Gen Hosp Boston MA 02115 USA;

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正文语种 eng
中图分类放射医学;
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1. A Machine-Learning Model Using Artificial Neural Network to Facilitate Liver SBRT Prescription Selection By Predicting Normal Liver Geud Based on Geometric Properties of Liver and PTV [J] . Wang Y. International Journal of Radiation Oncology, Biology, Physics . 2019,第1Suppla期

机译：一种利用人工神经网络的机器学习模型，以促进肝脏SBRT处方选择，通过肝脏和PTV几何特性预测正常肝geud
2. PTV dose prescription strategies for SBRT of metastatic liver tumours. [J] . de-Pooter JA, Wunderink W, Mendez-Romero A, Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology . 2007,第2期

机译：转移性肝肿瘤SBRT的PTV剂量处方策略。
3. Geometrical tracking accuracy and appropriate PTV margins for robotic radiosurgery of liver lesions by SBRT [J] . Ming Liu, Joanna E. Cygler, Eric Vervoort Acta oncologica. . 2019,第6期

机译：SBRT的几何跟踪精度和适当的PTV利润率用于肝脏病变的机器人放射咨询
4. Artificial Neural Network Modeling of Sustained Antihypertensive Drug Delivery using Polyelectrolyte Complex based on Carboxymethyl-kappa-carrageenan and Chitosan as Prospective Carriers [C] . Sonia Lefnaoui, Samia Rebouh, Mounir Bouhedda, Proceedings of the 2018 International Conference on Applied Smart Systems . 2018

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5. Liver Cancer Risk Quantification Through and Artificial Neural Network Based on Personal Health Data [D] . Ataei, Afrouz. 2021

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6. Artificial neural network-based models used for predicting 28- and 90-day mortality of patients with hepatitis B-associated acute-on-chronic liver failure [O] . Yixin Hou, Qianqian Zhang, Fangyuan Gao, 2020

机译：基于人工神经网络的模型可用于预测乙型肝炎相关的慢性慢性肝衰竭患者的28天和90天死亡率
7. A Machine-Learning Model Using Artificial Neural Network to Facilitate Liver SBRT Prescription Selection By Predicting Normal Liver Geud Based on Geometric Properties of Liver and PTV [O] . Y. Wang 2019

机译：一种利用人工神经网络的机器学习模型，以促进肝脏SBRT处方选择，通过肝脏和PTV几何特性预测正常肝geud

A Machine-Learning Model Using Artificial Neural Network to Facilitate Liver SBRT Prescription Selection By Predicting Normal Liver Geud Based on Geometric Properties of Liver and PTV

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