Active learning applied to selection of diverse training data using radiomic features for optimal lung lesion segmentation in nonhuman primates
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SPIE
Reference8 articles.
1. Toward the determination of sensitive and reliable whole-lung computed tomography features for robust standard radiomics and delta-radiomics analysis in a nonhuman primate model of coronavirus disease 2019
2. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
3. Medical imaging of pulmonary disease in SARS-CoV-2-exposed non-human primates
4. Characteristic and quantifiable COVID-19-like abnormalities in CT- and PET/CT-imaged lungs of SARS-CoV-2-infected crab-eating macaques (Macaca fascicularis)
5. Deep Learning for Automated Liver Segmentation to Aid in the Study of Infectious Diseases in Nonhuman Primates
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