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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteur principal: figshare admin karger (2628495) (author)
Autres auteurs: 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)
Publié: 2025
Sujets:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!