Framework for machine learning of ct and pet radiomics to predict local failure after radiotherapy in locally advanced head and neck cancers - Devakumar, Devadhas; Sunny, Goutham; Balu, Krishna; Bowen, Stephen; Nadaraj, Ambily; Jeyseelan, L; Mathew, Manu; Irodi, Aparna; Isiah, Rajesh; Pavamani, Simon; John, Subhashini; T. Thomas, Hannah (Journal of medical physics, 2021)
Keywords: Adaptive algorithms; Cable television broadcasting industry; Cancer; Computed tomography; Emission analysis; Failure; Feature extraction; Head & neck cancer; head and neck cancer; Image analysis; local failure; Machine learning; Medical imaging; Medical imaging equipment; Model testing; Original; Positron emission; positron emission tomography; Prediction models; Radiation; Radiation therapy; Radiomics; Radiotherapy; Shape; Software; Software development tools; Source code; Statistical analysis; Statistical methods; Tomography; Tumors; United States; India; radiomics; Computed tomography; head and neck cancer; machine learning; positron emission tomography; local failure