Interpretable Deep Learning Model for Pediatric Strangulated Small Bowel Obstruction on CT: A Multicenter Study
Author / Expert
Na Chang, Xin Liu, Peng Liu, Hengfei Gao, Nan Lin, Xujiao Chen, Lingling Cui, Huimin Jia, Bing Yu
Topic overview
To develop and validate a deep learning-based multi-instance learning model that integrates CT imaging and clinical data to improve the accuracy of discriminating between strangulated small bowel obstruction (StSBO) from simple small bowel obstruction (SiSBO) in pediatric patients.
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