TY  - JOUR 
AU  - Sadik, M.
AU  - López Urdaneta, Jesús Miguel
AU  - Ulén, J.
AU  - Enqvist, O.
AU  - Andersson, P.-O.
AU  - Kumar, R.
AU  - Trägårdh, E.
PY  - 2023
SN  - 1869-3482
UR  - http://hdl.handle.net/20.500.11940/21100
AB  - Purpose: Classification of focal skeleton/bone marrow uptake (BMU) can be challenging. The aim is to investigate whether an artificial intelligence-based method (AI), which highlights suspicious focal BMU, increases interobserver agreement among a...
LA  - eng
TI  - Artificial Intelligence Increases the Agreement among Physicians Classifying Focal Skeleton/Bone Marrow Uptake in Hodgkin's Lymphoma Patients Staged with [18F]FDG PET/CT-a Retrospective Study
DO  - 10.1007/s13139-022-00765-3
T2  - Nuclear Medicine and Molecular Imaging
M2  - 110
KW  - AS Lugo
KW  - HP A Mariña
VL  - 57
ER  -