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：

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

页数：1