Automatic Assessment of High Grade Brain Tumour Tissue in MR Images: What Is Tumour & What Radiation Injury

Keywords

academic accuracy acknowledgment agent applied assessment assist assisted assumption automatic background benign biology brain bright classification classified classifier clearly clinical clinically computer contrast correlated corresponds creating curve dark dataset datasets defined delineation denote detecting differentiating electrical engineering enhance enhanced enhancement enhancing error expected experienced experiment extent extracted extraction feature features fitted gold gone grade grant growth health hospital hypothesis included indeed independently indicate induced injured injury inspected journal kinetic kingdom limitation limitations linear logistic manual maps mechanical medicine model months moreover namely noise nuclear often operating orange patient patients performance phenylalanine physician places planning poor positron post potential prior process project qualitatively radiation radio radiology radiotherapy received receiver recurrence recurrent registered regression resection resolution risk rose sample samples school selected selection session society source specificity stage strategy suffer suggest supervised supported tagged therapy tissue tomography trained training treated types underlying useful validated validation visually volume wash weeks women world years yield