Fully automated segmentation of oncological PET volumes using a combined multiscale and statistical model - Montgomery, David W. G.; Amira, Abbes; Zaidi, Habib (Medical physics (Lancaster), 2007)
Keywords: ALGORITHMS; Algorithms for functional approximation; Artificial Intelligence; Biomedical modeling; cancer; CHEST; Cluster analysis; Computer Simulation; Data Interpretation, Statistical; DIAGNOSIS; Diseases; ERRORS; expectation‐maximisation algorithm; Gaussian mixture modeling; Humans; Image analysis; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; IMAGE PROCESSING; image segmentation; Imaging, Three-Dimensional - methods; MARKOV PROCESS; Markov processes; medical image processing; medical image segmentation; Medical imaging; Models, Biological; Models, Statistical; multiscale Markov modeling; Multiscale methods; NEOPLASMS; Neoplasms - diagnostic imaging; PATIENTS; pattern clustering; Pattern Recognition, Automated - methods; PHANTOMS; Phantoms, Imaging; PLANNING; POSITRON COMPUTED TOMOGRAPHY; positron emission tomography; Positron emission tomography (PET); Positron-Emission Tomography - instrumentation; Positron-Emission Tomography - methods; radiation therapy; RADIOLOGY AND NUCLEAR MEDICINE; RADIOTHERAPY; Reproducibility of Results; Sensitivity and Specificity; SIMULATION; Spatial analysis; STATISTICAL MODELS; tumours; wavelet; Wavelets; wavelet; Gaussian mixture modeling; positron emission tomography; medical image segmentation; multiscale Markov modeling