A Radiology-focused Review of Predictive Uncertainty for AI Interpretability in Computer-assisted Segmentation.

McCrindle, Brian; Zukotynski, Katherine; Doyle, Thomas E; Noseworthy, Michael D.

Afiliação

McCrindle B; Department of Electrical and Computer Engineering (B.M., T.E.D., M.D.N.), Department of Radiology, Faculty of Health Sciences (K.Z., M.D.N.), and School of Biomedical Engineering (K.Z., T.E.D., M.D.N.), McMaster University, 1280 Main St W, Hamilton, ON, Canada L8S 4L8; and Vector Institute for Artif
Zukotynski K; Department of Electrical and Computer Engineering (B.M., T.E.D., M.D.N.), Department of Radiology, Faculty of Health Sciences (K.Z., M.D.N.), and School of Biomedical Engineering (K.Z., T.E.D., M.D.N.), McMaster University, 1280 Main St W, Hamilton, ON, Canada L8S 4L8; and Vector Institute for Artif
Doyle TE; Department of Electrical and Computer Engineering (B.M., T.E.D., M.D.N.), Department of Radiology, Faculty of Health Sciences (K.Z., M.D.N.), and School of Biomedical Engineering (K.Z., T.E.D., M.D.N.), McMaster University, 1280 Main St W, Hamilton, ON, Canada L8S 4L8; and Vector Institute for Artif
Noseworthy MD; Department of Electrical and Computer Engineering (B.M., T.E.D., M.D.N.), Department of Radiology, Faculty of Health Sciences (K.Z., M.D.N.), and School of Biomedical Engineering (K.Z., T.E.D., M.D.N.), McMaster University, 1280 Main St W, Hamilton, ON, Canada L8S 4L8; and Vector Institute for Artif

Radiol Artif Intell ; 3(6): e210031, 2021 Nov.

Article em En | MEDLINE | ID: mdl-34870219