Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases

Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases

Abstract The objective of this study was to explore the potential of machine-learning techniques in the automatic identification and classification of brain metastases from a radiomic perspective, aiming to improve the accuracy of tumor volume assessment for radiotherapy. By using various machine-le...

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Bibliographic Details
Main Authors: Huai-wen Zhang, Yi-ren Wang, Bo Hu, Bo Song, Zhong-jian Wen, Lei Su, Xiao-man Chen, Xi Wang, Ping Zhou, Xiao-ming Zhong, Hao-wen Pang, You-hua Wang
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Machine learning
Prediction model
Radiomics
Stacking ensemble learning
Online Access:https://doi.org/10.1038/s41598-024-80210-x
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https://doi.org/10.1038/s41598-024-80210-x

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