Combined expert-in-the-loop—random forest multiclass segmentation U-net based artificial intelligence model: evaluation of non-small cell lung cancer in fibrotic and non-fibrotic microenvironments

Saqi, A., Liu, Y., Politis, M. G., Salvatore, M., & Jambawalikar, S. (2024). Combined expert-in-the-loop—random forest multiclass segmentation U-net based artificial intelligence model: evaluation of non-small cell lung cancer in fibrotic and non-fibrotic microenvironments. Journal of Translational Medicine, 22(1). https://doi.org/10.1186/s12967-024-05394-2
Authors:
Anjali Saqi
Yucheng Liu
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Affiliated Authors:
Anjali Saqi
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Columbia Affiliation:
Subjects:
Tumor Microenvironment (MeSH)
Lung Neoplasms (MeSH)
Carcinoma, Non-Small-Cell Lung (MeSH)
Artificial Intelligence (MeSH)
Fibrosis (MeSH)
Radiomics in Medical Imaging Analysis (OpenAlex Topic)
Diagnosis and Treatment of Lung Cancer (OpenAlex Topic)
Deep Learning in Medical Image Analysis (OpenAlex Topic)
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Publication Type:
Article
Unique ID:
10.1186/s12967-024-05394-2
PMID:
38978066
DOI:
10.1186/s12967-024-05394-2
Journal:
Journal of Translational Medicine
Publication Date:
Data Source:
OpenAlex
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