Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between Eosinophil Density and Clinicopathologic Features in Active Ulcerative Colitis.

MLA

Vande Casteele, Niels, et al. “Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between Eosinophil Density and Clinicopathologic Features in Active Ulcerative Colitis.” Inflammatory Bowel Diseases, vol. 28, no. 4, Mar. 2022, pp. 539–46. EBSCOhost, https://doi.org/10.1093/ibd/izab122.

APA

Vande Casteele, N., Leighton, J. A., Pasha, S. F., Cusimano, F., Mookhoek, A., Hagen, C. E., Rosty, C., Pai, R. K., & Pai, R. K. (2022). Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between Eosinophil Density and Clinicopathologic Features in Active Ulcerative Colitis. Inflammatory Bowel Diseases, 28(4), 539–546. https://doi.org/10.1093/ibd/izab122

Chicago

Vande Casteele, Niels, Jonathan A Leighton, Shabana F Pasha, Frank Cusimano, Aart Mookhoek, Catherine E Hagen, Christophe Rosty, Reetesh K Pai, and Rish K Pai. 2022. “Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between Eosinophil Density and Clinicopathologic Features in Active Ulcerative Colitis.” Inflammatory Bowel Diseases 28 (4): 539–46. doi:10.1093/ibd/izab122.