ARTIFICIAL INTELLIGENCE FOR AUTOMATIC DIAGNOSIS AND PLEOMORPHIC MORPHOLOGIC CHARACTERIZATION OF MALIGNANT BILIARY STRICTURES USING DIGITAL CHOLANGIOSCOPY: A MULTICENTRIC TRANSATLANTIC STUDY.

MLA

Saraiva, Miguel, et al. “Artificial Intelligence for Automatic Diagnosis and Pleomorphic Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Transatlantic Study.” Gastrointestinal Endoscopy, vol. 99, no. 6, June 2024, pp. AB20-AB21. EBSCOhost, https://doi.org/10.1016/j.gie.2024.04.671.

APA

Saraiva, M., Widmer, J., Haba, M. G., Ribeiro, T., Agudo, B., Manvar, A., Fazel, Y., Cardoso, P., Mendes, F., Martins, M., Ferreira, J., Boas, F. V., Pereira, P., & Macedo, G. (2024). Artificial Intelligence for Automatic Diagnosis and Pleomorphic Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Transatlantic Study. Gastrointestinal Endoscopy, 99(6), AB20-AB21. https://doi.org/10.1016/j.gie.2024.04.671

Chicago

Saraiva, Miguel, Jessica Widmer, Mariano Gonzalez Haba, Tiago Ribeiro, Belen Agudo, Amar Manvar, Yousef Fazel, et al. 2024. “Artificial Intelligence for Automatic Diagnosis and Pleomorphic Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Transatlantic Study.” Gastrointestinal Endoscopy 99 (6): AB20-AB21. doi:10.1016/j.gie.2024.04.671.