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Fig. 1 | BMC Medical Imaging

Fig. 1

From: Prenatal prediction of neonatal respiratory morbidity: a radiomics method based on imbalanced few-shot fetal lung ultrasound images

Fig. 1

The Workflow of the entire study. Stage I: For each acquired fetal lung ultrasound image, the ROI inside the fetal lung is delineated by one physician and confirmed by another physician. Stage II: 308 radiomics features are extracted in the ROI of each image. Feature selection is performed on these radiomics features to select the most useful features. Stage III: the selected radiomics features are combined with the clinical features as the input to the classifier. With building and comparing classification models with different methods, the best model is finally selected to predict the risk value of NRM

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