Feasibility of Automatic Segmentation of Hippocampus Based on Deep Learning in Hippocampus-Sparing Radiotherapy

Qiu Q.; Gong G.; Wang L.; Duan J.; Yin Y.

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Feasibility of Automatic Segmentation of Hippocampus Based on Deep Learning in Hippocampus-Sparing Radiotherapy

机译：基于深度学习的海马自动分割自动分割的可行性 - 在海马备受放射治疗中

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《International Journal of Radiation Oncology, Biology, Physics》 |2019年第1suppla期|共2页
作者
Qiu Q.; Gong G.; Wang L.; Duan J.; Yin Y.;
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作者单位

Shandong Univ Dept Radiat Oncol Phys &

Technol Shandong Canc Hosp Jinan Shandong Peoples R;

Shandong Univ Shandong Canc Hosp Jinan Shandong Peoples R China;

Shandong Univ Shandong Canc Hosp Jinan Shandong Peoples R China;

Shandong Univ Shandong Canc Hosp Jinan Shandong Peoples R China;

Shandong Univ Shandong Canc Hosp Dept Radiat Oncol Jinan Shandong Peoples R China;

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正文语种 eng
中图分类放射医学;
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1. Feasibility of Automatic Segmentation of Hippocampus Based on Deep Learning in Hippocampus-Sparing Radiotherapy [J] . Qiu Q., Gong G., Wang L., International Journal of Radiation Oncology, Biology, Physics . 2019,第1Suppla期

机译：基于深度学习的海马自动分割自动分割的可行性 - 在海马备受放射治疗中
2. Automatic Quality-Assurance Method for Deep Learning-Based Segmentation in Radiotherapy with Convolutional Neural Networks [J] . Men K., Dai J. Medical Physics . 2019,第6期

机译：卷积神经网络放射治疗深度学习分割的自动质量保证方法
3. AUTOMATIC DEEP LEARNING BASED SEGMENTATION OF BRAIN METASTASIS ON MPRAGE MR IMAGES FOR STEREOTACTIC RADIOTHERAPY PLANNING [J] . Fong Allan, McVicar Nevin, Nichol Alan, Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology . 2019,第期

机译：基于自动深度学习的Mprage Mr图像脑转移的分割，对立体定向放射治疗规划
4. 3D Automatic Segmentation of the Hippocampus Using Wavelets with Applications to Radiotherapy Planning [C] . Yi Gao, Benjamin W. Corn, Dan Schifter, Brain, body and machine . 2010

机译：小波对海马的3D自动分割及其在放射治疗中的应用
5. A Comparative Study of Novel Deep Learning-Based and Conventional Atlas-Based Automatic Segmentation in Head and Neck Radiotherapy Planning [D] . Asbach, John. 2020

机译：基于深度学习和常规阿特拉斯的头部放射治疗规划中的基于常规地图的比较研究
6. Automatic semantic segmentation of breast tumors in ultrasound images based on combining fuzzy logic and deep learning—A feasibility study [O] . Samir M. Badawy, Abd El-Naser A. Mohamed, Alaa A. Hefnawy, 2021

机译：基于组合模糊逻辑和深度学习的超声图像乳腺肿瘤自动分割 - 一种可行性研究
7. Feasibility of Automatic Segmentation of Hippocampus Based on Deep Learning in Hippocampus-Sparing Radiotherapy [O] . Q. Qiu, G. Gong, L. Wang, 2019

机译：基于深度学习的海马自动分割自动分割的可行性 - 在海马备受放射治疗中

Feasibility of Automatic Segmentation of Hippocampus Based on Deep Learning in Hippocampus-Sparing Radiotherapy

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