Open AccessDevelopment and validation of the suprathreshold stochastic resonance-based image processing method for the detection of abdomino-pelvic tumor on PET/CT scans
Author(s) -
Kartik Saroha,
Anil Kumar Pandey,
Param Dev Sharma,
Abhishek Behera,
Chetan Patel,
Chandrashekhar Bal,
Rakesh Kumar
Publication year - 2017
Publication title -
indian journal of nuclear medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.261
H-Index - 13
eISSN - 0972-3919
pISSN - 0974-0244
DOI - 10.4103/0972-3919.202247
Subject(s) - artificial intelligence , thresholding , medicine , pixel , image (mathematics) , image processing , computer vision , noise (video) , nuclear medicine , computer science , pattern recognition (psychology)
The detection of abdomino-pelvic tumors embedded in or nearby radioactive urine containing 18F-FDG activity is a challenging task on PET/CT scan. In this study, we propose and validate the suprathreshold stochastic resonance-based image processing method for the detection of these tumors.