Supplementary Material for: Computer-aided Diagnosis of Pneumoperitoneum on Neonatal Abdominal Radiographs

Introduction Neonatal gastrointestinal perforation is a life-threatening condition that requires timely and accurate diagnosis. However, interpreting abdominal radiographs in this population is often challenging. In this study, we aimed to develop a deep convolutional neural network (DCNN) model to...

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Bibliografiska uppgifter
Huvudupphovsman: figshare admin karger (2628495) (author)
Övriga upphovsmän: Sanmoto Y. (19800489) (author), Zhang R. (4121311) (author), Peng B. (8640963) (author), Hosokawa T. (4127467) (author), Kondo Y. (4274551) (author), Inoue M. (3395735) (author), Miyazono Y. (22687679) (author), Zhu X. (3872488) (author), Masumoto K. (22687682) (author)
Publicerad: 2025
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