Machine Learning Techniques for Pancreatic Cancer Detection
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64813-7_3
Reference27 articles.
1. Mpilla, G.B., Philip, P.A., El-Rayes, B., Azmi, A.S.: Pancreatic neuroendocrine tumors: therapeutic challenges and research limitations. World J. Gastroenterol. 26(28), 4036 (2020)
2. Zhou, S.K., et al.: A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises. Proc. IEEE 109(5), 820–838 (2021)
3. Heinrich, M.A., Mostafa, A.M., Morton, J.P., Hawinkels, L.J., Prakash, J.: Translating complexity and heterogeneity of pancreatic tumor: 3D in vitro to in vivo models. Adv. Drug Deliv. Rev. 174, 265–293 (2021)
4. Levine, O., Zbuk, K.: Colorectal cancer in adolescents and young adults: defining a growing threat. Pediatr. Blood Cancer 66(11), e27941 (2019)
5. Kenner, B., et al.: Artificial intelligence and early detection of pancreatic cancer: 2020 summative review. Pancreas 50(3), 251 (2021)
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