Contents Menu

Investigation of the combination of intratumoral and peritumoral radiomic signatures for predicting epidermal growth factor receptor mutation in lung adenocarcinoma

学位論文及び学位審査要旨(医博甲1701).pdf
[abstract] 1.35 MB
論文全文(医博甲1701).pdf
[fulltext] 1.79 MB
Title
腫瘍および腫瘍周囲のRadiomic特微量を用いた肺腺がんにおけるEGFR遺伝子変異の予測モデルの作成
Investigation of the combination of intratumoral and peritumoral radiomic signatures for predicting epidermal growth factor receptor mutation in lung adenocarcinoma
Degree 博士(医学) Dissertation Number 医博甲第1701号 (2024-03-18)
Degree Grantors Yamaguchi University
[kakenhi]15501 grid.268397.1
Creators Kawazoe Yusuke
Creator Keywords
EGFR mutation machine learning radiomic feature
Languages jpn
Resource Type doctoral thesis
File Version Version of Record
Access Rights open access
Funding Refs
Japan Society for the Promotion of Science [crossref_funder]https://doi.org/10.13039/501100001691
Award バイオメカニクスとロボティクスに基づく肺機能/形態融合の次世代動体追跡放射線治療 22K07667