Intelligent lung cancer MRI prediction analysis based on cluster prominence and posterior probabilities utilizing intelligent Bayesian methods on extracted gray-level co-occurrence (GLCM) features.

MLA

Yang, Jing, et al. “Intelligent Lung Cancer MRI Prediction Analysis Based on Cluster Prominence and Posterior Probabilities Utilizing Intelligent Bayesian Methods on Extracted Gray-Level Co-Occurrence (GLCM) Features.” Digital Health, vol. 9, May 2023, p. 20552076231172630. EBSCOhost, https://doi.org/10.1177/20552076231172632.

APA

Yang, J., Yee, P. L., Khan, A. A., Karamti, H., Eldin, E. T., Aldweesh, A., Jery, A. E., Hussain, L., & Omar, A. (2023). Intelligent lung cancer MRI prediction analysis based on cluster prominence and posterior probabilities utilizing intelligent Bayesian methods on extracted gray-level co-occurrence (GLCM) features. Digital Health, 9, 20552076231172630. https://doi.org/10.1177/20552076231172632

Chicago

Yang, Jing, Por Lip Yee, Abdullah Ayub Khan, Hanen Karamti, Elsayed Tag Eldin, Amjad Aldweesh, Atef El Jery, Lal Hussain, and Abdulfattah Omar. 2023. “Intelligent Lung Cancer MRI Prediction Analysis Based on Cluster Prominence and Posterior Probabilities Utilizing Intelligent Bayesian Methods on Extracted Gray-Level Co-Occurrence (GLCM) Features.” Digital Health 9 (May): 20552076231172630. doi:10.1177/20552076231172632.