Corrigendum: Head and neck cancer treatment outcome prediction:: a comparison between machine learning with conventional radiomics features and deep learning radiomics

Bao Ngoc Huynh; Aurora Rosvoll Groendahl; Oliver Tomic; Kristian Hovde Liland; Ingerid Skjei Knudtsen; Frank Hoebers; Wouter van Elmpt; Eirik Malinen; Einar Dale; Cecilia Marie Futsaether

doi:10.3389/fmed.2024.1421603

Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

Bao Ngoc Huynh
, Aurora Rosvoll Groendahl
, Oliver Tomic
, Kristian Hovde Liland
, Ingerid Skjei Knudtsen
, Frank Hoebers
, Wouter van Elmpt
, Eirik Malinen
, Einar Dale
, Cecilia Marie Futsaether^*

^*Corresponding author for this work

Research output: Contribution to journal › Erratum / corrigendum › Academic

Original language	English
Article number	1421603
Number of pages	1
Journal	Frontiers in medicine
Volume	11
DOIs	https://doi.org/10.3389/fmed.2024.1421603
Publication status	Published - 14 May 2024

Keywords

machine learning
deep learning
artificial intelligence
feature selection
radiomics
head and neck cancer
interpretability
outcome prediction

Access to Document

10.3389/fmed.2024.1421603Licence: CC BY

Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
Huynh, B. N., Groendahl, A. R., Tomic, O., Liland, K. H., Knudtsen, I. S., Hoebers, F., van Elmpt, W., Malinen, E., Dale, E. & Futsaether, C. M., 30 Aug 2023, In: Frontiers in medicine. 10, 1, 20 p., 1217037.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access

Cite this

Huynh, B. N., Groendahl, A. R., Tomic, O., Liland, K. H., Knudtsen, I. S., Hoebers, F., van Elmpt, W., Malinen, E., Dale, E., & Futsaether, C. M. (2024). Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics. Frontiers in medicine, 11, Article 1421603. https://doi.org/10.3389/fmed.2024.1421603

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title = "Corrigendum: Head and neck cancer treatment outcome prediction:: a comparison between machine learning with conventional radiomics features and deep learning radiomics",

keywords = "machine learning, deep learning, artificial intelligence, feature selection, radiomics, head and neck cancer, interpretability, outcome prediction",

author = "Huynh, \{Bao Ngoc\} and Groendahl, \{Aurora Rosvoll\} and Oliver Tomic and Liland, \{Kristian Hovde\} and Knudtsen, \{Ingerid Skjei\} and Frank Hoebers and \{van Elmpt\}, Wouter and Eirik Malinen and Einar Dale and Futsaether, \{Cecilia Marie\}",

year = "2024",

month = may,

day = "14",

doi = "10.3389/fmed.2024.1421603",

language = "English",

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issn = "2296-858X",

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Huynh, BN, Groendahl, AR, Tomic, O, Liland, KH, Knudtsen, IS, Hoebers, F , van Elmpt, W, Malinen, E, Dale, E & Futsaether, CM 2024, 'Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics', Frontiers in medicine, vol. 11, 1421603. https://doi.org/10.3389/fmed.2024.1421603

Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics. / Huynh, Bao Ngoc; Groendahl, Aurora Rosvoll; Tomic, Oliver et al.
In: Frontiers in medicine, Vol. 11, 1421603, 14.05.2024.

Research output: Contribution to journal › Erratum / corrigendum › Academic

TY - JOUR

T1 - Corrigendum: Head and neck cancer treatment outcome prediction:

T2 - a comparison between machine learning with conventional radiomics features and deep learning radiomics

AU - Huynh, Bao Ngoc

AU - Groendahl, Aurora Rosvoll

AU - Tomic, Oliver

AU - Liland, Kristian Hovde

AU - Knudtsen, Ingerid Skjei

AU - Hoebers, Frank

AU - van Elmpt, Wouter

AU - Malinen, Eirik

AU - Dale, Einar

AU - Futsaether, Cecilia Marie

PY - 2024/5/14

Y1 - 2024/5/14

KW - machine learning

KW - deep learning

KW - artificial intelligence

KW - feature selection

KW - radiomics

KW - head and neck cancer

KW - interpretability

KW - outcome prediction

U2 - 10.3389/fmed.2024.1421603

DO - 10.3389/fmed.2024.1421603

M3 - Erratum / corrigendum

SN - 2296-858X

VL - 11

JO - Frontiers in medicine

JF - Frontiers in medicine

M1 - 1421603

ER -