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May 1, 2024American Journal of Roentgenology

Deep-Learning Models for Abdominal CT Organ Segmentation in Children: Development and Validation in Internal and Heterogeneous Public Datasets

Elanchezhian Somasundaram Zachary L. Taylor Vinicius de Padua V. Alves Lisa Qiu Benjamin L. Fortson Neeraja Mahalingam Jonathan A. Dudley Hailong Li Samuel L. Brady Andrew T. Trout Jonathan R. Dillman

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Abstract

Deep learning abdominal organ segmentation algorithms have shown excellent results in adults; validation in children is sparse.

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Somasundaram et al. (2024) studied this question.

synapsesocial.com/papers/68e6c033b6db64358763f8fa https://doi.org/10.2214/ajr.24.30931

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