Lung radiomics features for characterizing and classifying COPD stage based on feature combination strategy and multi-layer perceptron classifier

DOI10.3934/MBE.2022366OpenAlexW4284972501MaRDI QIDQ2688388

Yanyan Li

Publication date: 3 March 2023

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022366

zbMATH Keywords

classificationLassofeature combinationradiomicsmachine learning (ML)chest HRCT imagesCOPD stage (GOLD)convolutional neural networks (CNN)

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Biomedical imaging and signal processing (92C55)

Cites Work

• Unnamed Item
• Machine learning models and algorithms for big data classification. Thinking with examples for effective learning
• A novel lung radiomics feature for characterizing resting heart rate and COPD stage evolution based on radiomics feature combination strategy
• Transfer Learning via Advice Taking

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