Key result
Editorial discusses deep learning automated cardiac MRI segmentation for Tetralogy of Fallot patients.
Editorial discussion raises awareness of automated segmentation in Tetralogy of Fallot; leaves open need for prospective validation.
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Priya et al. (2025) studied this question. A deep learning-based fully automated cardiac MRI segmentation approach for Tetralogy of Fallot patients is discussed in this editorial without generating or analyzing new data.
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