Development of an explainable AI Model for OS prediction in LA-NSCLC patients receiving RT

Research output: Contribution to journal › Conference Abstract/Poster in journal › Academic

Original language	English
Pages (from-to)	S4992-S4994
Number of pages	4
Journal	Radiotherapy and Oncology
Volume	194
Publication status	Published - 1 May 2024
Event	Annual Meeting of the European-Society-for-Radiotherapy-and-Oncology (ESTRO) 2024 - Scottish Event Campus, Glasgow, United Kingdom Duration: 3 May 2024 → 7 May 2024 Conference number: ESTRO2024 https://www.estro.org/Congresses/ESTRO-2024

Keywords

@article{ace5322028cf4f56b3a4a28df39ebd8d,

title = "Development of an explainable AI Model for OS prediction in LA-NSCLC patients receiving RT",

keywords = "lung cancer, explainable AI, prognosis",

author = "Zhen Zhang and Leoanrd Wee and Andre Dekker and Ji Zhu and Lujun Zhao",

year = "2024",

month = may,

day = "1",

language = "English",

volume = "194",

pages = "S4992--S4994",

journal = "Radiotherapy and Oncology",

issn = "0167-8140",

publisher = "Elsevier Ireland Ltd",

note = "Annual Meeting of the European-Society-for-Radiotherapy-and-Oncology (ESTRO) 2024 ; Conference date: 03-05-2024 Through 07-05-2024",

url = "https://www.estro.org/Congresses/ESTRO-2024",

}

TY - JOUR

T1 - Development of an explainable AI Model for OS prediction in LA-NSCLC patients receiving RT

AU - Zhang, Zhen

AU - Wee, Leoanrd

AU - Dekker, Andre

AU - Zhu, Ji

AU - Zhao, Lujun

N1 - Conference code: ESTRO2024

PY - 2024/5/1

Y1 - 2024/5/1

KW - lung cancer

KW - explainable AI

KW - prognosis

M3 - Conference Abstract/Poster in journal

SN - 0167-8140

VL - 194

SP - S4992-S4994

JO - Radiotherapy and Oncology

JF - Radiotherapy and Oncology

T2 - Annual Meeting of the European-Society-for-Radiotherapy-and-Oncology (ESTRO) 2024

Y2 - 3 May 2024 through 7 May 2024

ER -