跳至主導覽
跳至搜尋
跳過主要內容
澳門理工大學 首頁
English
中文
首頁
研究單位
研究成果
學術履歷
新聞/媒體
按專業知識、姓名或所屬機構搜尋
Dose prediction for cervical cancer in radiotherapy based on the beam channel generative adversarial network
Hui Xie,
Tao Tan
, Hua Zhang, Qing Li
Faculty of Applied Sciences
Xiangnan University
Macao Polytechnic University
Ltd.
Key Experimental Project of Higher Education Institutes in Hunan Province(Key Laboratory of Tumor Precision Medicine)
研究成果
:
Article
›
同行評審
總覽
指紋
指紋
深入研究「Dose prediction for cervical cancer in radiotherapy based on the beam channel generative adversarial network」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Medicine and Dentistry
Radiation Therapy
100%
Cervical Cancer
100%
Intensity Modulated Radiation Therapy
42%
Volumetric Modulated Arc Therapy
42%
Dose-Volume Histogram
28%
Neoplasm
14%
Bladder
14%
Small Intestine
14%
Colon
14%
Dose Calculation
14%
Immunology and Microbiology
Radiation Dose Distribution
100%
Artificial Intelligence
66%
Colon
33%
Face
33%
Small Intestine
33%
Neuroscience
Cervical Cancer
100%
Radiation Therapy
100%
Face
10%
Pharmacology, Toxicology and Pharmaceutical Science
Uterine Cervix Cancer
100%
Dose-Volume Histogram
50%
Neoplasm
25%