APA (7th ed.) Citation

Gangil, T., Sharan, K., Rao, B. D., Palanisamy, K., Chakrabarti, B., & Kadavigere, R. (2022). Utility of adding Radiomics to clinical features in predicting the outcomes of radiotherapy for head and neck cancer using machine learning. Public Library of Science (PLoS).

Chicago Style (17th ed.) Citation

Gangil, Tarun, Krishna Sharan, B. Dinesh Rao, Krishnamoorthy Palanisamy, Biswaroop Chakrabarti, and Rajagopal Kadavigere. Utility of Adding Radiomics to Clinical Features in Predicting the Outcomes of Radiotherapy for Head and Neck Cancer Using Machine Learning. Public Library of Science (PLoS), 2022.

MLA (9th ed.) Citation

Gangil, Tarun, et al. Utility of Adding Radiomics to Clinical Features in Predicting the Outcomes of Radiotherapy for Head and Neck Cancer Using Machine Learning. Public Library of Science (PLoS), 2022.