Application of CT Radiomics in Predicting Differentiation Level of Lung Adenocarcinoma

Application of CT Radiomics in Predicting Differentiation Level of Lung Adenocarcinoma

ObjectiveTo investigate the value of prediction of the differentiation level in lung adenocarcinoma based on CT radiomics model. MethodsData from 507 patients with postoperative pathological confirmed lung adenocarcinoma and clearly defined differentiation level of lung adenocarcinoma were retrospec...

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Bibliographic Details
Main Authors: Shuai ZHANG, Peng HAN, Suya ZHANG, Dingli YE, Zhicheng HUANG
Format: Article
Language:zho
Published: Editorial Office of Chinese Journal of Medical Instrumentation 2024-11-01
Series:Zhongguo yiliao qixie zazhi
Subjects:
lung adenocarcinoma
tumour differentiation
ct imaging
feature extraction
machine learning
Online Access:https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240152
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https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240152

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