Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics( vol 10 , 1217037 , 2023)

被引：0
|
作者：
Huynh, Bao Ngoc [1 ]
Groendahl, Aurora Rosvoll [1 ]
Tomic, Oliver [1 ]
Liland, Kristian Hovde [1 ]
Knudtsen, Ingerid Skjei [2 ,3 ]
Hoebers, Frank [4 ,5 ]
van Elmpt, Wouter [4 ,5 ]
Malinen, Eirik [3 ,6 ]
Dale, Einar [7 ]
Futsaether, Cecilia Marie [1 ]
机构：
[1] Norwegian Univ Life Sci, Fac Sci & Technol, As, Norway
[2] Norwegian Univ Sci & Technol, Dept Circulat & Med Imaging, Trondheim, Norway
[3] Oslo Univ Hosp, Dept Med Phys, Oslo, Norway
[4] Maastricht Univ, Med Ctr, Dept Radiat Oncol MAASTRO, Maastricht, Netherlands
[5] Maastricht Univ, Med Ctr, GROW Sch Oncol & Reprod, Maastricht, Netherlands
[6] Univ Oslo, Dept Phys, Oslo, Norway
[7] Oslo Univ Hosp, Dept Oncol, Oslo, Norway
来源：
FRONTIERS IN MEDICINE | 2024年 / 11卷
关键词：
machine learning; deep learning; artificial intelligence; feature selection; radiomics; head and neck cancer; interpretability; outcome prediction;
D O I：
10.3389/fmed.2024.1421603
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页数：1
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