AI-powered innovations in pancreatitis imaging: a comprehensive literature synthesis
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00261-024-04512-4.pdf
Reference53 articles.
1. James, T.W. and S.D. Crockett, Management of acute pancreatitis in the first 72 hours. Current Opinion in Gastroenterology, 2018. 34(5).
2. Mortele, K.J., et al., A modified CT severity index for evaluating acute pancreatitis: improved correlation with patient outcome. AJR Am J Roentgenol, 2004. 183(5): p. 1261–5.
3. De Waele, J.J., et al., Extrapancreatic Inflammation on Abdominal Computed Tomography as an Early Predictor of Disease Severity in Acute Pancreatitis: Evaluation of a New Scoring System. Pancreas, 2007. 34(2).
4. Chartrand, G., et al., Deep Learning: A Primer for Radiologists. Radiographics, 2017. 37(7): p. 2113–2131.
5. Zhang, Z. and E. Sejdić, Radiological images and machine learning: Trends, perspectives, and prospects. Comput Biol Med, 2019. 108: p. 354–370.
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