Using Artificial Intelligence to Detect, Classify, and Objectively Score Severity of Rodent Cardiomyopathy.

MLA

Tokarz, Debra A., et al. “Using Artificial Intelligence to Detect, Classify, and Objectively Score Severity of Rodent Cardiomyopathy.” Toxicologic Pathology, vol. 49, no. 4, June 2021, pp. 888–96. EBSCOhost, https://doi.org/10.1177/0192623320972614.

APA

Tokarz, D. A., Steinbach, T. J., Lokhande, A., Srivastava, G., Ugalmugle, R., Co, C. A., Shockley, K. R., Singletary, E., Cesta, M. F., Thomas, H. C., Chen, V. S., Hobbie, K., & Crabbs, T. A. (2021). Using Artificial Intelligence to Detect, Classify, and Objectively Score Severity of Rodent Cardiomyopathy. Toxicologic Pathology, 49(4), 888–896. https://doi.org/10.1177/0192623320972614

Chicago

Tokarz, Debra A., Thomas J. Steinbach, Avinash Lokhande, Gargi Srivastava, Rajesh Ugalmugle, Caroll A. Co, Keith R. Shockley, et al. 2021. “Using Artificial Intelligence to Detect, Classify, and Objectively Score Severity of Rodent Cardiomyopathy.” Toxicologic Pathology 49 (4): 888–96. doi:10.1177/0192623320972614.