Computer-Aided Diagnosis of Pancreatic Ductal Adenocarcinoma Using Machine Learning Techniques
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-5157-1_74
Reference16 articles.
1. Kenner, B. J., Chari, S. T., & Maitra, A. Early detection of pancreatic cancer-a defined future using lessons from other cancers. Pancreas, 45(8), 1073–1079.
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3. Llop, E., Guerrero, P. E., & Duran, A. (2018). Glycoprotien biomarkers for the detection of panctreatic ductal adenocarcinoma. World Gastroenterology, 24(24), 2537–2554.
4. Marker, A. V., Carrara, S., & Jamieson, N. B. (2015). Cyst fluid biomarkers for intraductal papillary mucinous neoplasms of the pancreas: a critical review from the international expert meeting on pancreatic branch-duct-intraductal papillary mucinous neoplasms. Journal of the American College of Surgeons, 220, 243–253.
5. Pergolini, I., Jager, C., & Safak, O. (2021). Diabetes and weight loss are associated with malignancies in patients with ıntraductal papillary mucinous neoplasms. Clinical Gastroenterology and Hepatology, 19, 171–179.
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